1.1 THE PARADIGM SHIFT IN EDUCATION IN...

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[16] 1.1 THE PARADIGM SHIFT IN EDUCATION IN INDIA The higher education system in today’s scenario is faced with many challenges like competitiveness, management, financing and reorientation of program by laying equal emphasis on quality of higher education, ethics and values together with the assessment of educational institutions and their accreditation. In the 21 st century, the higher education can be used as a powerful tool to build knowledge based society. Higher education should be viewed as a long-term social investment for the promotion of social cohesion, cultural development, economic growth, equity and justice. Indian higher education system can address itself to the global challenges through maintaining the right balance between the need and the demand and channelizing teaching, research and extension activities. It is thus required to bring quality of highest standards in every sphere of work. The needs and expectations of the society are changing at a fast pace and hence the quality of higher education needs to be enhanced at a commensurate level. Quality would depend on the quality of all the parameters and stakeholders, be it the students, faculty, staff, infrastructure etc. For attaining quality in these regards, all the processes, systems and policies have to be clearly directed towards making improvements in all the relevant dimensions in a sustained manner. Following are few challenges for the Indian education system: (i) Innovations required – The curriculum of many of the colleges / universities is more or less obsolete and do not impart latest knowledge to the students or do not equip them with the necessary skills. Due to this fact, the employability of the passed out students comes in question. It is needed to scale up the educational efforts which would be possible when the students become successful, create value in the society and contribute back to their alma-mater or start new institutes of global standards themselves. The schools / colleges / universities should regularly revise their curriculum by involving experts from different fields in order to focus on the knowledge development. There is a need to motivate teachers to participate by presenting research papers in workshops / seminars / conferences and receive periodic trainings for the regular updating of their skills /

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1.1 THE PARADIGM SHIFT IN EDUCATION IN INDIA

The higher education system in today’s scenario is faced with many challenges like

competitiveness, management, financing and reorientation of program by laying equal

emphasis on quality of higher education, ethics and values together with the assessment

of educational institutions and their accreditation. In the 21st century, the higher education

can be used as a powerful tool to build knowledge based society.

Higher education should be viewed as a long-term social investment for the promotion of

social cohesion, cultural development, economic growth, equity and justice. Indian higher

education system can address itself to the global challenges through maintaining the right

balance between the need and the demand and channelizing teaching, research and

extension activities. It is thus required to bring quality of highest standards in every

sphere of work. The needs and expectations of the society are changing at a fast pace and

hence the quality of higher education needs to be enhanced at a commensurate level.

Quality would depend on the quality of all the parameters and stakeholders, be it the

students, faculty, staff, infrastructure etc. For attaining quality in these regards, all the

processes, systems and policies have to be clearly directed towards making improvements

in all the relevant dimensions in a sustained manner.

Following are few challenges for the Indian education system:

(i) Innovations required – The curriculum of many of the colleges / universities is

more or less obsolete and do not impart latest knowledge to the students or do not

equip them with the necessary skills. Due to this fact, the employability of the

passed out students comes in question. It is needed to scale up the educational

efforts which would be possible when the students become successful, create

value in the society and contribute back to their alma-mater or start new institutes

of global standards themselves. The schools / colleges / universities should

regularly revise their curriculum by involving experts from different fields in

order to focus on the knowledge development. There is a need to motivate

teachers to participate by presenting research papers in workshops / seminars /

conferences and receive periodic trainings for the regular updating of their skills /

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knowledge. A feedback mechanism from the students should also be introduced in

the colleges / universities so as to assess and evaluate the teacher’s role in the

institutional developmental process.

(ii) Investment in education – The Indian government is planning to spend around Rs

25275 crore on the higher education during the year 2012-13. If we measure the

expenses on education as a percentage to Gross Domestic Product (GDP), India

lags behind some of the developing / developed nations of the world. This gap in

the investments in education in India can be filled by the private sector playing a

vital role.

(iii) Student-faculty ratio – In India, the student-faculty ratio is very high as compared

to the other countries in the world. For example, in the developed countries this

ratio stands at 11.4. In Western Asia it is 15.3 and in Latin America it is 16.6.

While in the case of India, it is as high as 22.0. Therefore, the focus should be

given to recruit the quality teachers and later on developing their skills /

knowledge through research and extensions.

(iv) Infrastructure facilities – The inability to provide the necessary physical

infrastructure to run upcoming colleges / institutions / universities (both in private

and public sectors) is the one of the main factors of low capacity utilization. It is

needed to ensure apolitical private sector participation in the establishment of

institutes for providing quality physical infrastructure. These infrastructure

facilities include real estate, library, state of the art class rooms, furniture, hostels,

transport, sport facilities, commercial buildings, laboratories etc.

(v) Competing with world – We need to study and evaluate thoroughly the models of

education being implemented in other parts of the world and work out strategies

to adopt the best models in our education system. If we wish to compete globally

in the 21st century, our education system should improve its instruction models

and administrative procedures by adopting certain benchmarking techniques.

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Benchmarking would provide benefits to Indian education system in terms of

setting right objectives, reengineering etc. We should aim at establishing world

class research facilities, recruit competent and profound academicians in colleges

/ universities to lead in economic development. It is important to transform the

younger workforce into productive ones and this can be done by providing quality

education in all parts of the country. In order to have a cutting edge over the

competitors in the globalised world, Indian higher education system should focus

on the use of technology for effective learning by the students.

(vi) Public Private Partnership model – It would be useful to explore the possibility of

Public Private Partnership (PPP) model in education sector so as to reduce the

burden of the government in incurring high cost of providing basic infrastructure

facilities. Collaborations between the colleges / universities and corporate should

also be initiated. This would help the students in getting exposure to industrial

activities through internships, organizing joint research and development,

corporate training during vacations etc. Thus making the students more job-

worthy and facilitating in image building and branding of the institutions.

(vii) Making education affordable – If we want education to reach all deserving

students, it has to be made affordable. The fee structure in government sponsored

/ owned institutions are inexpensive in India. However, this is not the case in

some of the private sector institutions due to which the fees are beyond the

capacity of poor and deserving students. To solve this issue, the educators have to

keep in mind that education should not become prohibitively expensive and

ensure that no deserving candidate is denied admission due to the lack of financial

resources.

(viii) Students studying abroad – Despite of having the largest number of higher

education institutions in the world, the number of students interested in pursuing

higher studies abroad is on rise in India. The various factors which encourage

Indian students to seek admission abroad are (a) increasing prosperity and

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aspirations (b) quality of education (c) exposure and experiences gained (d) social

prestige. We should recognize these short-comings while building our educational

institutions for a reversal of trend.

(ix) Ethics in education – Equipping the students with ethical values besides imparting

skills and knowledge is the most important objective of an educational institution.

A disturbing trend in respect of repayment of loans by students can be observed.

It may be noted that if the students do not repay the educational loans after they

falls due, the non-performing assets of the banks will increase and in the process,

banks would be skeptical in sanctioning educational loans. To reduce default of

education loans, the School Alumni Association of students has to become active

in inculcating ethics and values among students.

(x) Upgrading the quality of education – Instead of mere lecture methods, we should

use case studies, group discussions, paper presentations, assignments, seminars,

preparation of reports, curriculum related quiz etc. so as to make the teaching

learning process more effective, student-centered, interesting and activity

oriented. We should focus on improving the pedagogy. The teaching learning

process has to be planned based on the science of active learning and motivate the

students to develop a spirit of enquiry. This would result in more reasoning, self

confidence and learning. Due emphasis should also be given to improve the

student assessment system. The existing student assessment system is inadequate

to gauge the different degrees of excellence achieved by the students and to

increase the competence level among the students.

(xi) Reviewing teachers’ performances – The performance of the teachers should be

reviewed in terms of their subject knowledge up gradation, their ability to work

effectively in a team and to act as mentors for the students. Teachers should

actively participate in the departmental activities so as to assist their heads and the

institution in the College improvement plans. There should be a provision for

scientific assessment of the teachers. In order to promote sharing of mutual

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experience and help in creating a congenial atmosphere, there should be intra-

college and inter-college teacher experience sharing sessions or activities. This

will provide a good learning experience to all the participating teachers.

Continuous development of training modules on various aspects like use of

computers and audio / video aids in teaching, effective communication and

teaching skills, academic up gradation and personality development should be

done. Measurement of the performance after training by monitoring and suitable

quantification techniques is also required at each stage.

(xii) Strengthening performance reviews / appraisals – What cannot be measured,

cannot be managed. Thus the performance reviews are a must. The parameters

should be worked out, against which the performance is to be evaluated. The

scope would include the students, teachers, departments and the institution. The

parameters which has to be focused are demand in the student community to seek

admission to the institution, admission rates, absenteeism, dropout rates, student

unrest, quality of entrance tests, passing percentage, ranks procured, distinctions

conferred, innovative and improved teaching method, use of library /

infrastructure, learning outcomes, academic counseling and monitoring,

functioning of various student development clubs / associations, extra efforts put

in to encourage creative thinking in students etc.

(xiii) Creating research culture – If the Indian education has to make an impact in the

global competitive market, it is important that in every technology institution the

research culture should be promoted. Most of the research efforts in India are

discipline oriented and there are hardly any interdisciplinary groups existing even

in the top ranking institutions.

1.2 BODIES FOR QUALITY ASSURANCE IN INDIA

Following are the three central government agencies involved in quality assurance for

higher education in India:

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(i) The University Grants Commission (UGC) – It was established by an Act of

Parliament in 1956. The UGC is responsible for coordinating, determining and

maintaining the standards of university education. It provides guidance on

governance of tertiary institutions and curriculum development. The UGC

provides grants to centrally funded universities and colleges. The UGC

oversees the functioning of the All India Council of Technical Education

(AICTE), the National Assessment and Accreditation Council (NAAC), and

the professional councils which engage in research and quality assurance. The

UGC has seven main objectives in order to promote quality and excellence for

the improvement of universities and colleges:

• Promoting effective and flexible governance

• Using a more flexible credit based system for enhancing the quality of

learning at undergraduate and postgraduate levels

• Achieving excellence in teaching and research by strengthening

academic and physical infrastructure

• Focusing on networking between departments, laboratories and

research centres around India

• Approving the delivery of foreign non-technical degree programmes in

India

• Promoting the academic programmes which are beneficial to the

economic and social needs of India

• Improving undergraduate education in colleges through better

connection and coordination with post graduate programmes in the

universities

All India Council of Technical Education (AICTE)

The AICTE was established in 1954 by an Act of Parliament as a national level advisory

body. It was responsible for conducting surveys of technical education facilities within

India and also to promote and help in the development of technical education in a well

coordinated manner. The AICTE oversees the technical education sector in India. It also

grants approvals for the delivery of foreign technical programmes in India. To support

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AICTE, it was given a statutory authority for funding in priority areas, for maintaining

the parity of certification and areas, for the formulation and maintenance of standards, for

monitoring and evaluation and for quality assurance through accreditation. The National

Board of Accreditation (NBA) oversees the quality of engineering education in India and

it sits within the AICTE.

The AICTE oversees technical education programmes like training and research in

engineering, management, applied arts and crafts, technology, pharmacy, town planning,

architecture, and hotel management and catering technology from certificate through to

post-graduate research levels. The AICTE has regional offices in four places i.e. North,

South, East and West of the Country, and the head office is in New Delhi.

AICTE Act No. 2 was passed in 1987 in Parliament which gave it stronger compliance

functions to de-register the technical education institutions if they do not meet their

quality assurance standards.

The agency comprises of the following nine Bureaus:

• Academic Bureau

• Faculty Development Bureau

• Research and Institutional Development Bureau

• Quality Assurance Bureau

• Administration Bureau

• Undergraduate Education Bureau

• Finance Bureau

• Postgraduate Education and Research Bureau

• Planning and Coordination Bureau

Each Bureau has an Adviser as its Head who is assisted by technical officers and staff.

The members of the supporting staff are usually from government departments, academic

institutions or University Grants Commission.

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(ii) National Assessment and Accreditation Council (NAAC) – The NAAC,

Bangalore is an autonomous body under the UGC. NAAC was established in

1994 as an autonomous institution of the UGC. The mandate of NAAC as

reflected in its vision statement is in making quality assurance an integral part

of the functioning of Higher Education Institutions (HEIs). The NAAC

functions through its General Council (GC) and Executive Committee (EC)

where educational administrators, policy makers and senior academicians

from a cross-section of Indian higher education system are represented. The

Chairperson of the UGC is the President of the GC of the NAAC, the

Chairperson of the EC is an eminent academician nominated by the

President of GC (NAAC). The Director is the academic and administrative

head of NAAC, and is the member-secretary of both the GC and the EC. In

addition to the statutory bodies that steer its policies and core staff to support

its activities, NAAC is advised by the advisory and consultative

committees constituted from time to time.

Vision and Mission

The vision of NAAC is: To make quality the defining element of higher education in

India through a combination of self and external quality evaluation, promotion and

sustenance initiatives.

The mission statements of the NAAC aim at translating the NAAC’s vision into action

plans and define specific tasks of NAAC engagement and endeavor as given below:

• To arrange for periodic assessment and accreditation of institutions of higher education

or units thereof, or specific academic programmes or projects;

• To stimulate the academic environment for promotion of quality in teaching-learning

and research in higher education institutions;

• To encourage self-evaluation, accountability, autonomy and innovations in higher

education;

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• To undertake quality-related research studies, consultancy and training programmes,

and

• To collaborate with other stakeholders of higher education for quality evaluation,

promotion and sustenance.

Striving to achieve its goals as guided by its vision and mission statements, NAAC

primarily focuses on assessment of the quality of higher education institutions in the

country. The NAAC methodology for Assessment and Accreditation is very much similar

to that followed by Quality Assurance (QA) agencies across the world and consists of

self-assessment by the institution and external peer assessment by NAAC.

(iii) Association of Indian Universities (AIU) – The AIU was established in 1924

and it was registered as a society in 1967 under the Societies Registration Act.

The AIU acts as a facilitation body and inter-university support by providing

evaluation and assessments of foreign qualifications to Indian Universities.

Following are the main objectives of the AIU:

• To assist the universities in obtaining recognition for their dip, degrees and

examinations from other universities, Indian as well as foreign

• To facilitate communication and coordination between the universities by acting

as a bureau of information

• To help the universities in maintaining their autonomous character

• To act as a liaison point between the universities and Central government as well

as the State governments

• To provide and facilitate for the publication of research papers, newsletters, books

and journals

• To act as the representative of Indian universities overseas

• To facilitate exchange of teaching and research staff

• To undertake or promote programmes that would help in improving standards of

instruction, research, examination, scholarly publications, textbooks and library

organization

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• To establish and maintain bodies dealing with student services, sport, youth

welfare, adult education, cultural programmes and such other activities for the

betterment and welfare of students, teachers and others who are linked with the

universities

• To organize and facilitate lectures, seminars, workshops, conferences and

research in higher learning

1.3 OVERVIEW OF AREA

Education plays a vital role in the empowerment and development of the human resource

in a nation. Education is essential in imparting values, knowledge and developing skills

so as to increase the growth and productivity of the nation. Schools are the most

important means of transforming the reservoir of skills and knowledge from one

generation to another. However in the modern world, the role of institutions has become

more challenging with the innovations and technological developments. Investment in

educational institutions is an investment for economic prosperity. As higher cost is

involved in the establishment of higher educational institutions, we can see the entry of

private sector in this scenario.

Quality in the context of education is achieving the desirable characteristics of output

against some specified criteria or objectives. To ensure quality, every higher institution

has a road map of its own. This road map contains the vision and the mission statements,

norms and standards, and the programmes of action supported by continuous review and

monitoring system. To ensure quality, every institution must be equipped with sufficient

learning resources, infrastructure, supportive academic environment, need based

curriculum design, competent and dedicated teaching faculties and a planning system

with diversity and flexibility. Due emphasis should also be given on the use of

technology, promotion of research and development, and appropriate teaching learning

experience.

Quality education can be achieved by (a) conforming to comparable standards with an

innovative approach (b) adequate capability to consistently cope with the demands of the

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world of work and scope for employability (c) development of innate qualities to an

optimum level (d) fulfilling the academic intellectual requirements with the optimal

degree of excellence (e) satisfying all the stakeholders as per the social expectations.

Higher education has become both a repository and a creator of knowledge. It has

become a focal point for learning in the society and a driving force for economic

development of the nation. In the future, due to privatization and liberalization in

education sector the non qualified institutions will automatically die down. The

universities will no longer have the monopoly of higher learning. A large number of

satellite institutions will come up to supplement the need of higher education. The

national system of higher education will become varied and complex.

1.4 MOTIVATION

There is a wide spread view in the country that our graduates and post graduates passing

out from universities are not employable and the industry often complaints that they have

to spend a lot of effort, time and money to suitably train the new recruits. This sad

situation is attributable to lack of quality enforcement in our education system. Thus there

is a pressing and imperative need to enhance the quality level of our education system.

Lack of quality in education system results in unemployment, under employment and a

number of societal problems.

This aspect has provided motivation this research work to be undertaken which deals

with enhancement of quality level in our education system.

1.5 PROBLEM FORMULATION

It is a grass root level study in which the perceptions of the end users i.e. the students and

the faculty members have been studied. Quality education concept has been

operationalized in terms of students’ and faculty members’ satisfaction levels for the

different parameters. The study is a matter of perceived quality rather than technical

quality.

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The present study makes an attempt to enlist various factors that affect the quality of

Technical Education, so the problem can be stated as An Analytical Study of Parameters

Affecting Quality of Undergraduate Engineering Programmes in Haryana.

1.6 OBJECTIVES OF THE THESIS

• To study the perception of students about “Selection Process”, “Academic

Excellence”, “Infrastructure”, “Personality Development & Industry Exposure”,

“Placements” and “Management & Administration” parameters in undergraduate

engineering programmes in Haryana.

• To study the perception of faculty members about “Selection Process”,

“Academic Excellence”, “Infrastructure”, “Personality Development & Industry

Exposure” and “Management & Administration” parameters in undergraduate

engineering programmes in Haryana.

• To study the multi-paradigm framework of the teaching-learning, student

progression, leadership development, research and extension, learning resources

development in undergraduate engineering programmes in Haryana.

1.7 ORGANIZATION OF THE THESIS

Chapter 1: Introduction

Chapter 2: Literature Review

Chapter 3: Research Methodology

Chapter 4: Data Analysis and Interpretations

Chapter 5: Results

Chapter 6: Conclusions and Further Scope of the Study

References

Appendix

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The premier work carried out by different researchers in the present research area is

enlarged as under:

Sharma, H. and Goswami, V.K. (2013) The study inferred that Foreign direct investment

would be an useful tool for developing quality and its sustenance in the realm of higher

education, particularly for the poor and developing nations as well as the developed

countries all over the globe.

Dharini, S. et al (2013) The study discusses the perceptions of the students undergoing

higher education in a reputed institution. Motivational level of the students, transactional

style and student satisfaction level influence the academic performance of the students to

a great extent.

Melissa, H. (2013) The study concluded that there is a need for professionally training the

students in soft skills. The training programs would be more effective if the trainers

would be sent to train the teachers in their mid-career, who are engaged in the courses

like soft skills / personality development.

Kanjilal, U. (2013) The study inferred that the concept of Open Educational Resources

(OER) is new to the country and it is at a stage of development. The OER can help a

University to evolve as a system leader on the Open & Distance Learning (ODL) front.

Indira Gandhi National Open University (IGNOU) would have to play an important role

in building awareness about OER, and possibly help other ODL institutions in India to

adopt OER policies.

Gafoor, S.F. and Khabeer, Q. (2013) The study concluded that the Information and

Communication Technologies is essential for quality assurance in Higher Education. It

can be used as a model for assessing the quality of education in colleges. It also fastens

the process of assessment and audit with greater transparency.

Bairagi, A. and Shrivastava, A. (2013) The study explained that there has been a

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consistent demand for Free and Compulsory Education, right from the period around the

freedom struggle. In order to create a 'common language' and maintain uniform standards

across India, it is imperative to enact skeletal Central-level legislation in such a manner

that it allows room for local need based innovations.

Khamkar, S.B. (2013) The study concluded that the quality of education not only depend

upon the curriculum, infrastructure, aims, objectives, goal and mission, but it also

depends upon the art of creating, shaping human capital into accountable, socially

responsible, reliable individuals responsible to the society on the whole.

Sindhwani, A. and Kumar, R. (2013) The study recommended that education can be used

to infuse human values among students so as to make the world as a place of peace,

security and prosperity.

Sain, S.K. and Kaware, S.S. (2013) The study inferred that there would be a continuous

evolution of various kinds and generations of technology which would serve as prime

enabling factors in dissemination of instructional material as well as providing for

interaction between students and teachers separated by geographical distance.

Subrahmanyam, V. and Ravichandran, K. (2013) The study concluded that in order to get

the best results, the Institutions or Universities offering Online Distance Learning has to

take up the hybrid learning as a tool in their course offerings. The costs incurred due to

the implementation of hybrid learning can be recovered in a short span of time.

Sant, S.V. (2013) The study concluded that it is essential to redesign and reorient the

curricula of Vocational Education (VE) to instill in students and trainees the basic skills

along with cognitive digital literacy skills, problem solving, respect for conservation and

sustainable use of resources and the competencies to practice sustainable tasks at the

workplace of today and tomorrow. The proper policy, planning, framework and the

support from government and all stake holders is essential for successful implementation

of VE system.

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Chomal, V.S. and Saini, J.K. (2013) The study concluded that the introduction and

development of new information technology in teaching and learning has impacted the

traditional classroom activities. The newly introduced technologies produce a greater

level of interaction between and among teachers and students. They provide enrichment

in the learning experience and thus help to improve the educational environment.

Kayte, C.N. et al (2013) The study concluded that the Indian Education needs to compete

globally, especially with its neighborhood. The comparison with the Asian Universities,

which were easily outranked by their Indian counterparts a few decades ago, is not

favorable.

Sakran, T.M. and Mesanovic, M. (2013) The study identified differences in students’

perceptions of English for engineering course by gender and year of study. Female

respondents show a higher mean than males regarding overall course contents relevance.

The perceptions of graduate students are more positive than those indicated by junior and

senior students.

Sundareswari, S. (2013) The study inferred that although the electronic resources offer

wider access, cost saving over local maintenance and storage, ease of use, more rapid

updating, but the librarians find difficulty in defining issues related to policy of

collection, development and archiving of the Electronic Resources.

Bakshi, R. (2013) The study demonstrated that Knowledge Management helps in making

a learning society by enabling the students face the problems with courage and inner

strength. In India, we need to study the problems of Knowledge Management initiatives

through actual case studies and experiences. We need to explore the tools and techniques

for evaluating the results.

Patel, J.I. (2013) The study emphasizes that the Indian education system should be

learning-centric rather than exam-centric. The students should be made to interact in

groups and express their views on various topics apart from gaining knowledge from the

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lectures and voluminous books. Moreover, the students must be allowed to choose

subjects according to their interests.

Shinde, V.V. and Inamdar, S.S. (2013) The study emphasized that Problem Based

Learning (PBL) has been found to be an useful way to engage students in learning and to

achieve Learning Objectives (LOs). The authors have successfully implemented PBL in

an institute in India which has been practicing the instruction based pedagogy since

decades. The authors have recommended conducting a few more experiments in order to

form more concrete conclusions.

Dhanarajan, G. and Porter, D. (2013) The study was conducted at International

development research centre of Canada. The survey was done with the help of

questionnaire method. The study concluded that the knowledge is unequally and unfairly

distributed. The author says that the knowledge should be universal and OER can help in

overcome the gaps which exist in the globalised world.

Harishankar, V.B. et al (2013b) The study concluded that the use of Digital Resources

(DR) was the highlight of the survey in terms of responses. It can be confirmed by seeing

the different stages of development of DR and OER.

Harishankar, V.B. (2013a) The study concluded that there are enough government

policies in place to encourage OER in India. The focus is to be made to provide catalysts

which can turn the government policies into educational transformation.

Tak, R.M. (2013) The study inferred that technology helps in the process of delivering

education. In order to provide a better education system, we need to introduce

modifications and Information and Communication Technology (ICT) integration in

educational system. We can thus, create a generation of students who would be up-to-

date for the modern world and its demands.

Nargunde, A.S. (2013) The study explained that the students can be deprived of good

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knowledge if a genuinely good and dedicated teacher decides to leave the institute.

Frequent job hopping by teachers would hamper the learning process of the students and

the overall working of the institutes. It was found that almost 52% of the respondents

have worked in different organizations before joining the current organization. Aspects

like career opportunities, working conditions and performance – reward relation should

be improved by the management of the institutes in order to reduce the attrition rate of

the teachers.

Bala, S. (2013) The study concluded that the public higher education institutions need to

be supported by the state and the central government to reach the minimum standards.

Collaborative activities need to be supported through public funding. Competitive grants

are required to be provided to encourage healthy competition in higher education.

Kalanidhi, A. (2013) The study explained that any form of accreditation or regulation

may not be able to improve the quality of engineering education. On the other hand, the

institutions may try to acquire better and higher accreditation credentials in order to

present a better picture.

Uma R. and Seetha (2013) The study provides practical and useful information to the

AICTE and the technical universities to improve the competencies of the students of

English in engineering colleges. This has been done by giving a fair trial to the activities

developed and successfully tried out by the investigator. The study concludes that the

intervention strategies-I developed by the investigator have significantly improved the

communicative competencies among engineering students. And the intervention

strategies-II have significantly enhanced the self-esteem among engineering students.

Faisal, A.F. (2013) The study inferred that the teacher can use the assessment strategies

to enhance the learners speaking skills. The teacher assessment sheet and score sheet

would enable the learner to know his or her proficiency in the English language. Thereby

making the learners competent to speak in any situation and develop the speaking skills

of the learners. Moreover, the transparent assessment strategies would also increase the

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motivation and confidence of the learners.

Sathya, P. (2013) The study focuses on the importance of assessing the fluency of the

learners based on the needs analysis. The study concluded that the learning should be of

fun to the learners. Teachers must employ variety in teaching methodology. Hence it is

the teacher who must create a conducive atmosphere for learning. And the speaking

should be integrated with the other skills.

Tewari, D.D. et al (2013) The study inferred that although India has the advantage of

well-established and long system of higher education unlike China where state

interference in the past had been very heavy and not so conducive, India now lags behind

China for certain in some respects.

Jain, S. (2013) The study concluded that the institutes with high turnover must

continually invest money for providing professional support for new untrained teachers

and into recruitment efforts. This way, we can build a strong and much improved

education system so as to achieve the increased organizational efficiency.

Qureshi, R. et al (2013) The study explained that it is needed to keep the employees

satisfied and motivated in order to achieve the organizational goals. Unsatisfied

employees are hard to retain in the workplace. A high attrition rate would hamper the

overall working of the organization. The employee motivation leads to an increase in the

overall efficiency of the organization and job satisfaction.

Prasad, K.G. et al (2012) The study demonstrates the application of six sigma approach

for improving the quality in an engineering educational institution by eliminating the

failure causes. The study concluded that six sigma can be used as a powerful tool to

increase customer satisfaction by improving the processes in any system, which may be

service sector or production.

Matta, P. and Singh, N. (2012) The study inferred that e-learning has become an integral

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part of Information Technology (IT) world. There is no field or industry which has

remained untouched from the effects of advancement in e-learning. e-learning plays an

important role in both day to day life and information world.

Santhi, L. and Radhakrishnan, N. (2012) The results of the study shows that the majority

of the researchers are content with E-resources available in their institutions. While some

of the research scholars felt that they need orientation to use them.

Deb, N. (2012) The study concluded that in order to achieve regulation of higher

education in India, there is a need of interaction of the profit motives of various

providers- private, domestic as well as foreign.

Mukherjee, S. (2012) The study suggested that by incorporating policy as the theoretical

as well as empirical basis of comparative research, future studies may find more effective

means of tracing important linkages between developments in electoral and non-electoral

spheres of democratic competition.

Abhilash, E. and Mohankumar, S. (2012) The study illustrated that courses like research

methodology, intellectual property rights and scientific innovations should be an integral

part in post graduate curriculum to encourage the students to take up research as a

profession. Faculty involved in research should be recognized or encouraged for their

research contributions and should be given ample opportunity to boost their confidence

level to compete internationally.

Mohanty, A. (2012) The study suggested that the colleges and universities must revisit

and redefine their vision and mission statements, assessment procedures, planning

documents in the light of new challenges of globalization and clearly specify how to

address the diversity issues. More attention is needed to be given on the aspects like the

benefits of recruiting diverse faculty in enhancing teaching-learning effectiveness,

interdisciplinary research and developing multiple abilities like cross-cultural,

pedagogical implications, leadership and technical competencies amongst the university

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students.

Mani, S. and Arun, M. (2012) The study concluded that liberalization of education has

failed to bring in the expected benefits. It is quite evident that many students who gain

admission to various engineering colleges do not have the basic capability, which can be

built only by improving school education.

Callahan, N. et al (2012) The study inferred that online delivery of programs and courses

has become a necessary ingredient in post-secondary education. Online education offers

many advantages in flexibility and convenience that can significantly improve

accessibility for students in a variety of situations.

Sandhu, H.S. and Daviet (2012) The study suggested that open access resources are

valuable and qualitative source of information. Respondents have positive attitudes

toward open access but there is a need of increased awareness about open access

materials.

Kumar, P. (2012) The study recommended that increased number of awareness

programmes should be organized to enhance the use of e-resources and to throw light on

the benefits obtainable from electronic format as compared to print. Educational

institutions should make the access to scholarly e-resources free and or highly subsidized

in order to fulfill their mission in to reality.

Vidalis, S.M. (2012) The study explained that conducting mock interviews in order to

make each student’s learning maximum is both difficult to schedule and a time-

consuming process.

Grewal, D.S. (2012) The results of the study says that if we consider an area which is

remote and rural it include both the disparities; in the form of income and the

characteristics of facilities available. An extreme disparity can be seen in Punjab, where

the students in professional education from urban: rural are in the ratio 96:4 as per a

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Punjabi university Survey. Facilities wise; distance from industry, lack of

communication; poor inputs and non availability of faculty are additional problems in

remote rural areas.

Jahagirdar, G.S. (2012) The study suggested that e-learning tools provide a context for

individual and group learning. Educators construct, codify and represent knowledge as

learning materials and store it in repositories of the e-learning system.

Bhusry, M. et al (2012) The study recommended that Information Technology based

Knowledge Management intervention in Higher Education Institutions can prove to be a

promising techno management tool to enhance performance in the vital areas of teaching

and learning, administrative services and research.

Datir, R.K. (2012) The study explained that the expansion of higher education in India

has been completely unplanned and chaotic. There is imbalance and distortions in the

area of technical education in India. The public expenditure on education in India is most

inadequate.

Viji, V. (2012) The study inferred that the enrolment rate in elementary education is

higher but the dropout rate has increased from 1st standard to higher education in India.

So the government should take necessary steps and introduce techniques to reduce the

dropout rate.

Kadam, N.L. (2012) The study illustrated that due to the increase in enrolment and

General Education Requirement, the present number of institutions of higher education is

incapable to accommodate all the students suitably and conveniently. The higher

education system needs to be expanded rapidly, so that, it would reach to the last student.

Ali, M.M. and Joshi, J.D. (2012) The study recommended that quality is one of the major

aspects for sustainability in higher education. The Balanced Scorecard, Benchmarking

and Competency Mapping would support the institutions to improve and maintain the

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quality and to fulfill the dreams of our nation, to become education superpower by 2030.

Deshwal, P. et al (2012) The study concluded that the perception of undergraduate

engineering students is cardinal in ensuring service quality in engineering education.

Eight factors were unveiled including satisfaction with the academics, faculty profile,

faculty teaching, library, laboratory, competitive environment, campus infrastructure and

inter-institute activities.

Malagi, V.V. (2012) The study explained that the major challenges to the Indian higher

education are teacher recruitment, faculty development, quality of undergraduate

colleges, promotion of research and doctorate programmes, promotion of humanities,

social sciences and basic sciences disciplines and internationalizing higher education.

Sahoo, B.B. and Agarwal, G.P. (2012) The study illustrated that the future plans of Indian

National Digital Library in Engineering Sciences and Technology (INDEST)-AICTE

Consortium include (i) considering a discovery solution for the INDEST-AICTE

Consortium member as well as for the other member institutions of other Consortium of

India, (ii) establishment of National coalition of all Library Consortia to have a common

e-resources policy for India etc.

Sohoni, M. (2012) The study recommended to bring an agreement on pedagogy and met

a curriculum which is broad and comprehensive and is implementable throughout the

country, to develop course materials and protocols for knowledge accumulation for local

needs, to develop projects which are executable at different colleges and develop a

common platform for discussing action-research. Last but not least to form a team of

resource persons for every course composed of academicians, experts and practitioners.

Chakraborty, S. and Ghosh, S.B. (2011) The study explained that the contributions made

by Distance Learning Universities (DLU) (Open Universities) are major creator in the

field of Open Resources. Government initiatives in the form of the contributions provided

by Information and Library Network (INFLIBNET) and National Informatics Centre

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(NIC) have helped the stakeholders of the higher education community.

Sasireka, I. et al (2011) The study concluded that out of 205 engineering institutions, 145

(70.7%) colleges are providing access to electronic resources. Majority of the non

minority self financing institutions are providing e-resources facility. All private

universities have good collections of electronic resources in their library.

Saeki, A.B. (2011) The study concluded that engineering education institutions should:

(i) seek to improve the skill set of graduates; (ii) recognize the importance of soft skills,

(iii) refocus the assessments, teaching-learning process, and curricula away from lower-

order thinking skills, such as remembering and understanding, toward higher-order skills,

such as analyzing and solving engineering problems, as well as creativity; and (iv)

interact more with employers to understand the particular demand for skills in that region

and sector.

Thakkar, C.M. (2011) The study concluded that the presence of an institution shall

depend upon the type of education and training offered. Total quality can only be

achieved by establishing an innovative organization that is flexible, which can quickly

adjust to changes in its environment and is capable of learning.

Kapur, D. (2010) The study inferred that the success of the emerging surrogate education

system has (at least now) depended mainly on extreme selection mechanisms and the

ability to pay private providers. Moreover, with formal educational qualifications

becoming more dominant, the pressures to get credentialed are increasing, without the

corresponding skills and training.

Sharma, R.K. and Tewari, P.C. (2010) The study concluded that Concurrent Engineering

has been able to find the place in top ten best practices in academics. Due to the speedy

changes in technology and uncertainty, we need to take care of the extent to which

activities are to be done simultaneously or successively.

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Dukkipati, U. (2010) The result of the study demonstrated that for India to maintain its

economic growth in a global market place fuelled by the knowledge economy, it needs to

nearly double its number of students in higher education by 2012. Without proper

approach to education the country’s demographic dividend could turn into a demographic

disaster.

Rani, P.G. (2010) The study concluded that it needs to emphasize on ensuring quality and

accountability of the private higher education system immediately. The ‘state’ should

raise some fundamental and forgotten essential values such as positive externalities, the

social purpose that higher education provides, the nation building role it performs, the

public good and the human right natures of higher education are to be brought back.

Mishra, S. (2010) The study inferred that some 'out of the box' thinking is required to

synergize technical and nontechnical content to meet society's new necessities. India has

seen irregular curricula reforms, most Indian engineering institutions are falling behind.

This is not certainly due to a lack of awareness but more to administrative set-up, over

centralized academic power, and rigid regulations that hinder innovative academic

practices and student learning.

Saxena, V. et al (2010) The result of the study confirmed that the universities in India can

sign Memorandum of Understanding (MoU) with foreign universities for scientific

research. Once this process sets in, serious research scholars would be drawn towards

scientific research in different areas.

Khan, S. and Dominic, J. (2009) The study concluded that the faculty members have

learnt Internet skills from colleagues, friends and training from college. The faculty use

Internet for research purpose and education.

Mantri, A. (2009) The study concluded that there is an overall need that graduates of

engineering should be creative, and the engineering industry wants thinkers and problem

solvers, so likewise we should use education techniques that foster creativity in students.

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Ghosh, J. (2008) The study concluded that in India in spite of the rising costs of

education, or visa difficulties queues of students are lining up to join United States (US)

higher education institutions. And the attraction for such students seems to be not simply

the lure of eventual emigration to the US, but a genuine opinion that the system is

inherently superior.

Paranjape, M. (2008) The results of the study concluded that there is a need to broaden

the paradigm of human development to sustainable human development which includes a

holistic education system based on universalisation of elementary and secondary

education and a developed base of higher education.

Baby, M.A. (2008) The study concluded that the exceptional demand for education even

among the masses is the result of the internalization of the economic value of education

in the developing knowledge society.

Arunkumar, R. (2008) It can be determined from the study that it is time for the popular

movements to build struggles for growth of public education and build a consensus for

their agenda and defeat the implementation of the World Trade Organization (WTO)

agenda via our commerce department.

Mohanty, P.J. (2008) The study inferred that up-gradation of the production process

requires an affordable and effective higher education system for the masses and not just

for a few privileged ones. Simultaneously, it is also necessary that the government give

equal importance to universalizing primary and secondary education.

Menon, R.V.G. (2008) The study explained that the market, which goes only by capacity

utilization and returns on capital, does not realize the human costs. The pass percentage

in engineering, which was earlier around 90, has now fallen below 60. Many students

from every batch fail to pass the engineering course, at the end of four years.

Banerjee, R. and Muley, V.P. (2008) The study concluded that it is important to know the

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actual trends in numbers, placements, salaries, employability, research output and

compare and benchmark performance with other institutions. An understanding of the

reality should form the beginning of policy changes that ensure that the engineering

education system meets the changing needs of the industry and society.

Morell, L. (2008) The result of the study demonstrated that if engineers are to create a

world that has never been, then we need engineers with the right set of skills,

competencies and values. It is essential that engineering education reforms and innovates,

focusing on outcomes, quality assurance and on producing engineers that society,

regions, nations and the world need.

Levy, D.C. (2008) The study explained that India’s private proportion of total enrolment

is roughly same as to the evolving global average. In regard to types of institutions, the

private sector is especially focused on non-universities and in small institutions. Elite

academic universities are uncommon in private sectors, though the future could be

distinct in both India and beyond.

Agarwal, P. (2007) The study concluded that a realistic approach is required in the

formulation of public policies to govern important components of higher education.

Although appropriate regulations could help to remove profiteering and poor quality, all

efforts to burden the overloaded regulatory bodies to maintain quality standards and

ethical practices would be wasted unless accompanied by a clear understanding of the

roles of private, public, and foreign provision in higher education.

Mishra, S. (2007) The study explained that the quality assurance system leads to

performance excellence as well as total quality management. Assuring quality is a

continuous teamwork in which standards, benchmarks, and quality audit plays a

important integrated role. Quality assurance has to be executed internally though it is

normally monitored/ assessed through external agency for accreditation.

Vohra, N. and Nair, N. (2007) The study inferred that the educational institutions thrive

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on tradition and continuity and maintenance of the status quo is part of the cultural

coding. It is important for the consultant to learn continuously by seeking help from the

community of professionals (colleagues or collected knowledge available in books and

journals) and to coax the complex system to learn to unlearn and seek help to grow

further.

Arora, V. (2007) The study inferred that if a positive word-of-mouth alumni base is

achieved, greater awareness levels will be achieved with potential students who in turn

will be encouraged to pursue their higher education in the United Kingdom (UK) by this

satisfied alumni base and ultimately add to this alumni base that will further spread and

communicate the strengths and positives of studying in the UK.

Varshney, L.R. (2006) The study recommended that once the quality of engineering

education in India increases to a suitable level, the flight to foreign engineering colleges

should also decrease, thus solving the major social ills linked with adverse selection in

the engineering education market.

Goel, S. (2006) The results of the study explained that in order to further develop the

value of engineering education, it is proposed that ability to create wealth, self-

sufficiency and a sense of well being through successful engineering enterprise, ability to

assist others through philanthropic donation, and ability to work in multi-location teams

may also be added to the list of recommended competencies, especially at the master

level.

Agarwal, P. (2006) The study inferred that in order to enable the formulation of policy at

the central, state, and institutional levels, there is an instant need for conducting a

baseline survey of higher education and training system - both in the public and the

private sector. The changing national and global circumstances require that we evolve a

new concept in higher education.

Vincent, S. and Lancrin (2006) The study recommended that cross-border education has

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the potential to be an effective capacity development tool for developing countries, not

only for their tertiary education systems but also for the economy as a whole. Imported

tertiary education can contribute in expanding access for domestic students and in

improving the quality of tertiary education.

Hopper, R.R. (2006) The result of the study demonstrated that even with warnings and

sanctions QA processes can move a system toward one that embraces the virtuous cycle

of quality improvement provided that initial actions are paired with clear guidance for

improvements and technical assistance to help move the program or institution towards

progress.

Tiwari, R. (2005) The study inferred that in the entire North East (NE) of India, mostly

the engineering colleges which are under state universities are in existence. The number

of engineering colleges and yearly intake of students as compared to other zone is very

less. Also, some suggestions for up-gradation of existing state Engineering Institutions in

NE can be thought off and application of the same may be made to improve the quality of

engineering education and its effectiveness to benefit the society.

Viswanadhan, K.G. (2005) The result of the study explained that Analytic Hierarchy

Process (AHP), which is a transparent method, is very useful to handle the situations

where qualitative data is involved in the decision-making. It involves the principles of

decomposition, pair wise comparisons, and priority vector generation and synthesis.

Singla, P.K. et al (2005) The study inferred that the case studies are particularly

appropriate to provide students with a learning situation, which closely resembles the

organizational context and the professional requirements. Therefore case studies are the

cornerstones of competency-oriented learning.

Hemalatha, B. et al (2005) The results of the study explained that if a student uses the

Internet tools for problem solving for his/her specific subject, then the student gains a

greater insight into the underlying concepts and is able to understand the use of web

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technology.

Naik, B.M. (2005) The study recommended that if India dreams to become a superpower

by 2020 it will have to leave the old shackles and adopt a new approach. Higher

education institutions have now come in global competition, where survival of the fittest

is the law.

Bhushi, U.M. et al (2005) It can be determined from the study that Continuous

Education Programmes should provide services in terms of continuation of research by

providing funds and required infrastructure and the system should have accountability

measures in terms of design of curriculum, publication of papers, patents etc.

Balakrishnan, S. (2005) The results of the study explained some features for the future

betterment of the candidates entering into the educational system through Competency

Based Education System (CBES). They are given below: theory blended with the societal

required practical approach, improving the students to the substance learning instead of

subject learning alone, and employability of candidates into the industry and improving

the functioning and output of industry.

Harish, G. (2005) The study recommended that Continuous Education Programmes helps

the teachers of engineering college to update their knowledge. It also helps in

advancement of their career and to place themselves to higher positions. It also helps at

the time of accreditation of institute by the NBA.

Raja, M.P.N. et al (2005) The study inferred that the proposed model presented in the

investigation presents a different conceptualization of service quality. It is an attempt to

combine the various models from the available services literature in the context of higher

education services.

Venkataram, P. et al (2005) The results of the study demonstrated that we can have the

technical education institution assessment and improvement system on everyday basis

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and provide the system for improvement aid in future planning of technical education in

the state and in the country.

Kumar, R. and Kaur, A. (2005) The study concluded that in order to make the Internet

more useful, the library staff who have obtained a good deal of efficiency in the

collection, organization and retrieval of information should feel duty-bound to see that

the users are able to obtain right information at the right time.

Cheney, G.R. et al (2005) The study concluded that the growing demand for higher

education is not currently being met: only ten percent of the age cohort is actually

enrolled in higher education.

Bhattacharya, B. (2004) The study concluded that India, like other countries, is aware

that a new age is emerging - one that will be characterized by incredible advances in

knowledge and synthesis of knowledge, triggering major changes in the objectives,

contents and methods of higher education.

2.1 SIGNIFICANCE OF THE STUDY

• The changing economic scenario throughout the globe has made India a major

provider of workforce to the world. So it has become an issue of utmost importance to

impart the highest quality of technical education. With increase in population and

huge investment in the education sector, a large number of private engineering

institutions have come up, while the rise in the number of seats and the number of

government engineering institutions have taken place at snail’s pace throughout India.

• Monitoring, maintaining and improving the quality of these engineering institutions

have become one of the major issues in the current scenario. Haryana being one of the

fast developing states has shown a rapid rise in the set up of new engineering

institutions over the last decade. This study focuses on the crucial parameters which

can be used as tools to monitor the quality in undergraduate engineering institutions

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within Haryana to achieve a planned improvement and growth in the technical

education.

• Since the students and faculty members form the two important pillars of any

educational institute, so this study mainly focuses on the analytical study performed

on the faculty members and undergraduate students of some engineering institutions

of Haryana. Basic parameters based on which the current study has been conducted

are Selection Process, Academic Excellence, Infrastructure, Personality Development

& Industry Exposure, Placements and Management & Administration. Utmost care

has been taken while evaluating the data and interpreting the results.

• This study contributes the analytical data based on which we would be able to analyze

the short comings of some of the engineering institutions of Haryana under study and

we would be able to take some concrete steps in inducting few procedures for the

better tomorrow.

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The present study has been conducted on six different education institutions in Haryana

which have been imparting education in various undergraduate engineering courses since

last two decades, among them are four Universities and two Affiliated Colleges from

Haryana.

• Sampling: The research is a descriptive type of research in nature. The sample

size for the study is 600 for the students (n=100 for each institute) and 180 for the

faculty members (n=30 for each institute). The sample has been taken on the basis

of stratified sampling technique.

• Data collection: The data has been collected with the help of Questionnaire Based

Survey. The questionnaire has been filled by the students (pursuing B.Tech) and

faculty members (teaching B.Tech) from six undergraduate engineering

institutions in Haryana.

• Scope of the study: Region and respondents included in research - The region of

the study is Haryana and the institutions which have been studied are the six

undergraduate engineering institutions in Haryana chosen randomly.

• Statistical tools: For analysis and conclusion of the results of the survey, t test on

Microsoft (MS) Excel and factor analysis on Statistical Package for Social

Sciences (SPSS) have been performed.

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This chapter includes the data presentation, analysis and interpretation. This chapter has

been subdivided in two parts. The first part of this chapter deals with the data analysis

and interpretations based on t test performed on MS Excel. The second part of this

chapter deals with the data analysis and interpretations based on factor analysis

performed on SPSS. The analysis in each part has been done with respect to the two

stakeholders (students and faculty members) of institute A, B, C, D, E and F respectively.

The primary data collected from the respondents through questionnaires is analyzed here.

The respondents were requested to give their opinion by filling the required information

in their respective questionnaires. The structure of the questionnaire for two categories of

stakeholders (respondents) was same however their questions differed based on the

relevancy of issues for the respective stakeholder (respondents). The questions in the

questionnaires were based on the Likert scale where responses were sought on five point

scale. There were five columns representing Strongly Agree, Agree, Not Sure, Disagree

and Strongly Disagree in the given sequence. The responses as tick mark were to be

marked in the box [ ] printed against each question.

The primary data collected through questionnaires is separately analyzed for entire

population of students and faculty members (respondents) for the six selected institutes in

Haryana, India. The responses of the questions asked from the students and faculty

members through a structured questionnaire have been assigned weightages according to

the NAAC criteria of Assessment and Accreditation (A&A) before statistical analysis.

The following tables show the weights assigned to each question of the two

questionnaires.

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.1: Weightages assigned for the student questionnaire (On a scale of 10) Criteria Key Aspects Questions Universities Affiliated

Colleges 1.Curricular Aspects

1.1 *(U)Curriculum design and development

1.1 *(A) Curricular planning and implementation

1.2 Academic flexibility 1.3 Curriculum enrichment 1.4 Feedback system

2.Teaching – Learning and Evaluation

2.1 Student enrolment and profile

SQ1,SQ2,SQ3 0.10 0.30

2.2 Catering to student diversity

SQ5,AQ8 0.20 0.50

2.3 Teaching-Learning process

AQ6,AQ7,AQ9 0.50 1

2.4 Teacher quality AQ4,AQ5 0.50 0.80 2.5 Evaluation process and reforms

AQ3,AQ13,AQ14,PQ3

0.40 0.50

2.6 Student performance and learning outcomes

3.Research, consultancy and extension

3.1 Promotion of research 3.2 Resource mobilization for research

3.3 Research facilities 3.4 Research publications and awards

3.5 Consultancy 3.6 Extension activities and institutional social responsibility

3.7 Collaboration PDQ11 0.20 0.20 4.Infrastructure and learning resources

4.1 Physical facilities IQ2,IQ3,IQ4,IQ5,IQ9,IQ10,IQ11,IQ12,IQ13,IQ14,IQ17,IQ20,IQ27,IQ28,IQ29,IQ30,IQ31

0.30 0.30

4.2 Library as a learning resource

IQ6,IQ7 0.20 0.20

4.3 IT infrastructure IQ8,IQ15,IQ26 0.30 0.30 4.4 Maintenance of campus facilities

IQ18,IQ19,IQ22 0.20 0.20

5.Student support and progression

5.1 Student mentoring and support

AQ11,PDQ1,PDQ2,PDQ3,PDQ8,PDQ10,PDQ12,PQ2,MQ7,MQ8,MQ9

0.40 0.50

5.2 Student progression PDQ6,PQ1,PQ5, 0.40 0.30

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Criteria Key Aspects Questions Universities Affiliated Colleges

PQ6 5.3 Student participation and activities

PDQ4,PDQ5,PDQ, PDQ14

0.20 0.20

6.Governance leadership and management

6.1 Institutional vision and leadership

MQ1,MQ2 0.10 0.10

6.2 Strategy development and deployment

MQ4 0.10 0.10

6.3 Faculty empowerment strategies

MQ3 0.30 0.30

6.4 Financial management and resource mobilization

6.5 Internal quality assurance system

7.Innovations and best practices

7.1 Environment consciousness

7.2 Innovations 7.3 Best practices

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.2: Weightages assigned for the faculty member questionnaire (On a scale of 10) Criteria Key Aspects Questions Universities Affiliated

Colleges 1.Curricular Aspects

1.1 *(U)Curriculum design and development

AQ4 0.50 NA

1.1 *(A) Curricular planning and implementation

AQ4 NA 0.20

1.2 Academic flexibility 1.3 Curriculum enrichment 1.4 Feedback system

2.Teaching – Learning and Evaluation

2.1 Student enrolment and profile

2.2 Catering to student diversity 2.3 Teaching-Learning process

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Criteria Key Aspects Questions Universities Affiliated Colleges

2.4 Teacher quality AQ8 0.50 0.80 2.5 Evaluation process and reforms

2.6 Student performance and learning outcomes

3.Research, consultancy and extension

3.1 Promotion of research AQ15 0.20 0.20 3.2 Resource mobilization for research

AQ7,AQ14 0.20 0.10

3.3 Research facilities 3.4 Research publications and awards

AQ9 1 0.20

3.5 Consultancy 3.6 Extension activities and institutional social responsibility

3.7 Collaboration PDQ5 0.20 0.20 4.Infrastructure and learning resources

4.1 Physical facilities IQ2,IQ3,IQ9,IQ19

0.30 0.30

4.2 Library as a learning resource

IQ7,IQ8 0.20 0.20

4.3 IT infrastructure IQ1,IQ4,IQ5,IQ6

0.30 0.30

4.4 Maintenance of campus facilities

5.Student support and progression

5.1 Student mentoring and support

5.2 Student progression 5.3 Student participation and activities

6.Governance leadership and management

6.1 Institutional vision and leadership

MQ1,MQ2,MQ3,MQ7,MQ8,MQ9,MQ10

0.10 0.10

6.2 Strategy development and deployment

MQ6 0.10 0.10

6.3 Faculty empowerment strategies

SQ2,SQ3,AQ6,AQ11,AQ12,PDQ1,PDQ2,PDQ3,PDQ4,PDQ6,MQ4

0.30 0.30

6.4 Financial management and resource mobilization

MQ5 0.20 0.20

6.5 Internal quality assurance system

MQ11 0.30 0.30

7.Innovations and best practices

7.1 Environment consciousness 7.2 Innovations AQ10 0.30 0.30 7.3 Best practices

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4.1 t TEST ON THE STUDENT AND FACULTY MEMBER RESPONSES

4.1.1 Institute “A” (student)

SELECTION PROCESS

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in four questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.836

Standard deviation (s) = 0.699

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.070

tstat = ( x - µ)/standard error = -2.345

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.011

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.011

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Selection Process” parameter is not

acceptable to the majority of the student respondents of Institute “A”.

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ACADEMIC EXCELLENCE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in ten questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.317

Standard deviation (s) = 0.621

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.062

t stat = ( x - µ)/standard error = -10.998

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Academic Excellence” parameter is

not acceptable to the majority of the student respondents of Institute “A”.

INFRASTRUCTURE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in twenty five questions

is greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

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test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.431

Standard deviation (s) = 0.499

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.050

t stat = ( x - µ)/standard error = -11.418

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Infrastructure” parameter is not

acceptable to the majority of the student respondents of Institute “A”.

PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in twelve questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.652

Standard deviation (s) = 0.686

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.069

t stat = ( x - µ)/standard error = -5.068

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Personality Development &

Industry Exposure” parameter is not acceptable to the majority of the student respondents

of Institute “A”.

PLACEMENTS

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in five questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.480

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Standard deviation (s) = 0.792

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.079

t stat = ( x - µ)/standard error = -6.562

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Placements” parameter is not

acceptable to the majority of the student respondents of Institute “A”.

MANAGEMENT AND ADMINISTRATION

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in seven questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.487

Standard deviation (s) = 0.693

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.069

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t stat = ( x - µ)/standard error = -7.403

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Management & Administration”

parameter is not acceptable to the majority of the student respondents of Institute “A”.

SELECTION PROCESS

SQ1. The criteria followed at the time of giving admission to the students are uniform.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.520

Standard deviation (s) = 0.240

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.024

t stat = ( x - µ)/standard error = -103.537

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The criteria followed at

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the time of giving admission to the students are uniform” is not acceptable to the majority

of the student respondents of Institute “A”.

SQ2. The entrance examination conducted by the institute for the admission purpose of

students helps in the selection process.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.550

Standard deviation (s) = 0.221

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.022

t stat = ( x - µ)/standard error = -110.920

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The entrance examination

conducted by the institute for the admission purpose of students helps in the selection

process” is not acceptable to the majority of the student respondents of Institute “A”.

SQ3. The students admitted have required basic knowledge of all the subjects at entry

level to the technical courses.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.490

Standard deviation (s) = 0.189

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µ = 3

Sample size; n = 100

Standard error = s/√n = 0.019

t stat = ( x - µ)/standard error = -132.549

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The students admitted

have required basic knowledge of all the subjects at entry level to the technical courses”

is not acceptable to the majority of the student respondents of Institute “A”.

SQ5. The fee structure is such that it helps in the selection process.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 1.276

Standard deviation (s) = 0.397

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.040

t stat = ( x - µ)/standard error = -43.455

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The fee structure is such

that it helps in the selection process” is not acceptable to the majority of the student

respondents of Institute “A”.

ACADEMIC EXCELLENCE

AQ3. The students come prepared for lectures/tutorials, lab/workshop classes.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.232

Standard deviation (s) = 0.103

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -269.200

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The students come

prepared for lectures/tutorials, lab/workshop classes” is not acceptable to the majority of

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the student respondents of Institute “A”.

AQ4. The teachers are committed, sincere and dedicated.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.237

Standard deviation (s) = 0.104

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -264.578

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The teachers are

committed, sincere and dedicated” is not acceptable to the majority of the student

respondents of Institute “A”.

AQ5. The faculty is qualified and competent.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.241

Standard deviation (s) = 0.100

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

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t stat = ( x - µ)/standard error = -277.279

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty is qualified

and competent” is not acceptable to the majority of the student respondents of Institute

“A”.

AQ6. The teaching-learning process is carried with the aim of imparting maximum

knowledge to each & every student.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.248

Standard deviation (s) = 0.100

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -275.064

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

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cannot be accepted. Hence it can be inferred that the question “The teaching-learning

process is carried with the aim of imparting maximum knowledge to each & every

student” is not acceptable to the majority of the student respondents of Institute “A”.

AQ7. Tutorials are conducted in such a way that all the doubts of the students are cleared.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.263

Standard deviation (s) = 0.122

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -224.096

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Tutorials are conducted in

such a way that all the doubts of the students are cleared” is not acceptable to the

majority of the student respondents of Institute “A”.

AQ8. The institution adopts teaching methods to the diversity of its students' body.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.115

Standard deviation (s) = 0.047

µ = 3

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Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -608.402

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institution adopts

teaching methods to the diversity of its students' body” is not acceptable to the majority

of the student respondents of Institute “A”.

AQ9. The faculty is easily available to students for solving their problems.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.260

Standard deviation (s) = 0.118

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -231.837

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

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[65]  

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty is easily

available to students for solving their problems” is not acceptable to the majority of the

student respondents of Institute “A”.

AQ11. The guidance, counseling and mentoring activities are taken care of by in-house

as well as external experts.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.244

Standard deviation (s) = 0.099

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -279.123

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The guidance, counseling

and mentoring activities are taken care of by in-house as well as external experts” is not

acceptable to the majority of the student respondents of Institute “A”.

AQ13. The question papers follow a fixed structure.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.238

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[66]  

Standard deviation (s) = 0.120

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -230.229

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The question papers

follow a fixed structure” is not acceptable to the majority of the student respondents of

Institute “A”.

AQ14. The evaluation of the students is fair, transparent and open to the students and

parents.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.240

Standard deviation (s) = 0.097

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -283.596

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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[67]  

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The evaluation of the

students is fair, transparent and open to the students and parents” is not acceptable to the

majority of the student respondents of Institute “A”.

INFRASTRUCTURE

IQ2. The laboratories are well equipped with sufficient and latest equipments to impart

skills for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.109

Standard deviation (s) = 0.049

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -595.986

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The laboratories are well

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[68]  

equipped with sufficient and latest equipments to impart skills for the students” is not

acceptable to the majority of the student respondents of Institute “A”.

IQ3. Facilities of sports and games are sufficient for encouraging the participation of the

students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.121

Standard deviation (s) = 0.054

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -537.314

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Facilities of sports and

games are sufficient for encouraging the participation of the students” is not acceptable to

the majority of the student respondents of Institute “A”.

IQ4. The communication laboratory is modernized and well equipped.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.102

Standard deviation (s) = 0.040

µ = 3

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Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -720.153

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The communication

laboratory is modernized and well equipped” is not acceptable to the majority of the

student respondents of Institute “A”.

IQ5. The class rooms are in sufficient number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.083

Standard deviation (s) = 0.032

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.003

t stat = ( x - µ)/standard error = -924.624

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

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[70]  

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The class rooms are in

sufficient number” is not acceptable to the majority of the student respondents of Institute

“A”.

IQ6. The library is well equipped with books, National, International & E Journals and

internet facility for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.063

Standard deviation (s) = 0.030

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.003

t stat = ( x - µ)/standard error = -975.246

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The library is well

equipped with books, National, International & E Journals and internet facility for the

students” is not acceptable to the majority of the student respondents of Institute “A”.

IQ7. The students can visit the library whenever they find time during the holidays,

weekends and off hours.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

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Weighted average ( x ) = 0.066

Standard deviation (s) = 0.032

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.003

t stat = ( x - µ)/standard error = -925.872

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The students can visit the

library whenever they find time during the holidays, weekends and off hours” is not

acceptable to the majority of the student respondents of Institute “A”.

IQ8. The reading and internet facilities are available in the hostel.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.123

Standard deviation (s) = 0.046

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -622.015

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The reading and internet

facilities are available in the hostel” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ9. The mess food is hygienic and homely.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.132

Standard deviation (s) = 0.048

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -596.810

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The mess food is hygienic

and homely” is not acceptable to the majority of the student respondents of Institute “A”.

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IQ10. The toilets for the students (for both males & females) are in adequate number at

strategic locations.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.095

Standard deviation (s) = 0.042

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -686.305

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The toilets for the students

(for both males & females) are in adequate number at strategic locations” is not

acceptable to the majority of the student respondents of Institute “A”.

IQ11. The institute has boys & girls common rooms in adequate number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.108

Standard deviation (s) = 0.042

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -681.937

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TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institute has boys &

girls common rooms in adequate number” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ12. The institute has stationary store and reprography facility in centralized location.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.094

Standard deviation (s) = 0.039

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -738.847

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institute has

stationary store and reprography facility in centralized location” is not acceptable to the

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[75]  

majority of the student respondents of Institute “A”.

IQ13. The institute has first aid cum sick room with required facilities.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.098

Standard deviation (s) = 0.038

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -772.096

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institute has first aid

cum sick room with required facilities” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ14. The Auditorium / Amphitheater is well equipped.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.086

Standard deviation (s) = 0.037

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

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t stat = ( x - µ)/standard error = -797.371

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Auditorium /

Amphitheater is well equipped” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ15. A secured Wi-Fi facility for the students is well channelized to provide easy

access.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.138

Standard deviation (s) = 0.058

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.006

t stat = ( x - µ)/standard error = -491.802

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

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[77]  

cannot be accepted. Hence it can be inferred that the question “A secured Wi-Fi facility

for the students is well channelized to provide easy access” is not acceptable to the

majority of the student respondents of Institute “A”.

IQ17. Potable water supply and outlets for drinking water at strategic locations is

available in plenty.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.079

Standard deviation (s) = 0.030

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.003

t stat = ( x - µ)/standard error = -971.172

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Potable water supply and

outlets for drinking water at strategic locations is available in plenty” is not acceptable to

the majority of the student respondents of Institute “A”.

IQ18. Back up electric supply is available in the institute when required.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.047

Standard deviation (s) = 0.019

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µ = 3

Sample size; n = 100

Standard error = s/√n = 0.002

t stat = ( x - µ)/standard error = -1578.332

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Back up electric supply is

available in the institute when required” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ19. Facility for sewage disposal is sufficient and appropriate.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.058

Standard deviation (s) = 0.024

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.002

t stat = ( x - µ)/standard error = -1234.205

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Facility for sewage

disposal is sufficient and appropriate” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ20. Parking facility for the students’ vehicle is spacious.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.105

Standard deviation (s) = 0.054

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -533.211

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Parking facility for the

students’ vehicle is spacious” is not acceptable to the majority of the student respondents

of Institute “A”.

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IQ22. Institute has adequate safety provisions including fire and other calamities.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.061

Standard deviation (s) = 0.023

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.002

t stat = ( x - µ)/standard error = -1286.383

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Institute has adequate

safety provisions including fire and other calamities” is not acceptable to the majority of

the student respondents of Institute “A”.

IQ26. Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.120

Standard deviation (s) = 0.043

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -675.420

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TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Enterprise Resource

Planning (ERP) Software for Student-Institution-Parent interaction is well developed” is

not acceptable to the majority of the student respondents of Institute “A”.

IQ27. The transport facility is adequate in number to help students to commute from

remote areas.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.112

Standard deviation (s) = 0.050

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -575.815

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The transport facility is

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adequate in number to help students to commute from remote areas” is not acceptable to

the majority of the student respondents of Institute “A”.

IQ28. The Post, Banking Facility / Asynchronous Transfer Mode (ATM) is located in a

centralized location.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.099

Standard deviation (s) = 0.042

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -696.934

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Post, Banking Facility

/ ATM is located in a centralized location” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ29. Closed Circuit Television (CCTV) Security System covers all the vital areas of the

institute.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.097

Standard deviation (s) = 0.039

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µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -747.787

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “CCTV Security System

covers all the vital areas of the institute” is not acceptable to the majority of the student

respondents of Institute “A”.

IQ30. Liquid Crystal Display (LCD) (or similar) projectors equipped classrooms are

adequate in number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.132

Standard deviation (s) = 0.054

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -532.313

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “LCD (or similar)

projectors equipped classrooms are adequate in number” is not acceptable to the majority

of the student respondents of Institute “A”.

IQ31. The hostel, residential, canteen and other recreational facilities are satisfactory for

the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.104

Standard deviation (s) = 0.045

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -645.954

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The hostel, residential,

canteen and other recreational facilities are satisfactory for the students” is not acceptable

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to the majority of the student respondents of Institute “A”.

PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

PDQ1. There are enough opportunities for Industry Institute Interaction for the students’

development.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.276

Standard deviation (s) = 0.122

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -222.815

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “There are enough

opportunities for Industry Institute Interaction for the students’ development” is not

acceptable to the majority of the student respondents of Institute “A”.

PDQ2. The entrepreneurship cell / programmes conduct sufficient activities for creating

& nurturing entrepreneurial mindset.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.285

Standard deviation (s) = 0.110

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µ = 3

Sample size; n = 100

Standard error = s/√n = 0.011

t stat = ( x - µ)/standard error = -246.249

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The entrepreneurship cell

/ programmes conduct sufficient activities for creating & nurturing entrepreneurial

mindset” is not acceptable to the majority of the student respondents of Institute “A”.

PDQ3. The Industry Institute Partnership Cell (IIPC) is active and efficient.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.278

Standard deviation (s) = 0.094

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.009

t stat = ( x - µ)/standard error = -289.416

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Industry Institute

Partnership Cell (IIPC) is active and efficient” is not acceptable to the majority of the

student respondents of Institute “A”.

PDQ4. The institute has sufficient clubs and societies providing developmental activities

for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.147

Standard deviation (s) = 0.062

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.006

t stat = ( x - µ)/standard error = -458.175

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institute has sufficient

clubs and societies providing developmental activities for the students” is not acceptable

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to the majority of the student respondents of Institute “A”.

PDQ5. Adequate activities are arranged for enhancement of soft and life skills for the

students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.122

Standard deviation (s) = 0.052

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -550.257

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Adequate activities are

arranged for enhancement of soft and life skills for the students” is not acceptable to the

majority of the student respondents of Institute “A”.

PDQ6. Good hands - on skills are imparted during the workshop practices.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.232

Standard deviation (s) = 0.093

µ = 3

Sample size; n = 100

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Standard error = s/√n = 0.009

t stat = ( x - µ)/standard error = -296.296

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Good hands - on skills are

imparted during the workshop practices” is not acceptable to the majority of the student

respondents of Institute “A”.

PDQ7. Each student is encouraged to participate in co-curricular, extra-curricular

activities and event management. The students' participation is specifically acknowledged

through certificates etc.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.143

Standard deviation (s) = 0.064

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.006

t stat = ( x - µ)/standard error = -449.816

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Each student is

encouraged to participate in co-curricular, extra-curricular activities and event

management. The students' participation is specifically acknowledged through certificates

etc.” is not acceptable to the majority of the student respondents of Institute “A”.

PDQ8. The atmosphere is conducive for the development of the requisite competencies

for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.267

Standard deviation (s) = 0.097

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -280.428

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The atmosphere is

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conducive for the development of the requisite competencies for the students” is not

acceptable to the majority of the student respondents of Institute “A”.

PDQ10. Eminent professors, senior industry executives and successful personalities are

invited for guest lectures for interaction with students from time to time.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.296

Standard deviation (s) = 0.125

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -216.504

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Eminent professors, senior

industry executives and successful personalities are invited for guest lectures for

interaction with students from time to time” is not acceptable to the majority of the

student respondents of Institute “A”.

PDQ11. The student exchange programmes for giving exposure to the students proves to

be beneficial.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.134

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Standard deviation (s) = 0.055

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -524.238

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The student exchange

programmes for giving exposure to the students proves to be beneficial” is not acceptable

to the majority of the student respondents of Institute “A”.

PDQ12. Proper guidance is provided to the students in the live projects for research.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.297

Standard deviation (s) = 0.108

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.011

t stat = ( x - µ)/standard error = -249.640

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Proper guidance is

provided to the students in the live projects for research” is not acceptable to the majority

of the student respondents of Institute “A”.

PDQ14. The fresher party, farewell party, techno fests etc for the students are well

organized under disciplined environment.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.176

Standard deviation (s) = 0.078

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.008

t stat = ( x - µ)/standard error = -361.245

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The fresher party, farewell

party, techno fests etc for the students are well organized under disciplined environment”

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is not acceptable to the majority of the student respondents of Institute “A”.

PLACEMENTS

PQ1. The training and placement cell is able to arrange summer training and campus

interviews in an adequate number for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.500

Standard deviation (s) = 0.223

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.022

t stat = ( x - µ)/standard error = -112.144

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The training and

placement cell is able to arrange summer training and campus interviews in an adequate

number for the students” is not acceptable to the majority of the student respondents of

Institute “A”.

PQ2. A well established student service centre exists to provide efficient academic,

financial, administrative services to the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.526

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Standard deviation (s) = 0.214

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.021

t stat = ( x - µ)/standard error = -115.625

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “A well established student

service centre exists to provide efficient academic, financial, administrative services to

the students” is not acceptable to the majority of the student respondents of Institute “A”.

PQ3. The project work and summer training is attached due importance.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.440

Standard deviation (s) = 0.175

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.018

t stat = ( x - µ)/standard error = -146.090

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The project work and

summer training is attached due importance” is not acceptable to the majority of the

student respondents of Institute “A”.

PQ5. A good number of recruiters visit the campus for the recruitment of the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.508

Standard deviation (s) = 0.226

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.023

t stat = ( x - µ)/standard error = -110.080

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “A good number of

recruiters visit the campus for the recruitment of the students” is not acceptable to the

majority of the student respondents of Institute “A”.

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PQ6. Reputed companies visit the campus for the recruitment of students in good

number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.506

Standard deviation (s) = 0.223

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.022

t stat = ( x - µ)/standard error = -111.916

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Reputed companies visit

the campus for the recruitment of students in good number” is not acceptable to the

majority of the student respondents of Institute “A”.

MANAGEMENT AND ADMINISTRATION

MQ1. A well defined Academic Policy is in place and all the stake holders are familiar

with the same.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.136

Standard deviation (s) = 0.044

µ = 3

Sample size; n = 100

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[98]  

Standard error = s/√n = 0.004

t stat = ( x - µ)/standard error = -648.193

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “A well defined Academic

Policy is in place and all the stake holders are familiar with the same” is not acceptable to

the majority of the student respondents of Institute “A”.

MQ2. The Director/Head of Departments / Officers have the academic, financial and

administrative freedom.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.136

Standard deviation (s) = 0.048

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.005

t stat = ( x - µ)/standard error = -601.925

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

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[99]  

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Director/Head of

Departments / Officers have the academic, financial and administrative freedom” is not

acceptable to the majority of the student respondents of Institute “A”.

MQ3. Decisions are taken by the duly constituted Board of Governors (BOG) / Board of

Studies (BOS) / Board of Faculty (BOF) assisted by various committees and represented

by faculty and experts.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.417

Standard deviation (s) = 0.154

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.015

t stat = ( x - µ)/standard error = -167.278

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Decisions are taken by the

duly constituted Board of Governors (BOG) / Board of Studies (BOS) / Board of Faculty

(BOF) assisted by various committees and represented by faculty and experts” is not

acceptable to the majority of the student respondents of Institute “A”.

MQ4. There is transparency in overall working of the institution.

Null hypothesis; Ho: µo ≥ 3

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[100]  

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.157

Standard deviation (s) = 0.058

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.006

t stat = ( x - µ)/standard error = -489.666

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “There is transparency in

overall working of the institution” is not acceptable to the majority of the student

respondents of Institute “A”.

MQ7. The student grievances’ are timely addressed by the authority.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.642

Standard deviation (s) = 0.248

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.025

t stat = ( x - µ)/standard error = -94.883

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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[101]  

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The student grievances’

are timely addressed by the authority” is not acceptable to the majority of the student

respondents of Institute “A”.

MQ8. Institute has an efficient Grievance Redressal Committee for the students.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.627

Standard deviation (s) = 0.259

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.026

t stat = ( x - µ)/standard error = -91.539

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Institute has an efficient

Grievance Redressal Committee for the students” is not acceptable to the majority of the

student respondents of Institute “A”.

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[102]  

MQ9. Institute focuses on the prevention and prohibition of ragging.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.373

Standard deviation (s) = 0.204

µ = 3

Sample size; n = 100

Standard error = s/√n = 0.020

t stat = ( x - µ)/standard error = -128.504

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Institute focuses on the

prevention and prohibition of ragging” is not acceptable to the majority of the student

respondents of Institute “A”.

4.1.2 Institute “A” (faculty member)

SELECTION PROCESS

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in two questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 1.933

Standard deviation (s) = 0.954

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.174

tstat = ( x - µ)/standard error = -6.127

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Selection Process” parameter is not

acceptable to the majority of the faculty respondents of Institute “A”.

ACADEMIC EXCELLENCE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in ten questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.798

Standard deviation (s) = 0.738

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µ = 3

Sample size; n = 30

Standard error = s/√n = 0.135

t stat = ( x - µ)/standard error = -1.497

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.073

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.073

Since p value is more than the level of significance (α = 0.05), so the null hypothesis gets

accepted. Hence it can be inferred that the “Academic Excellence” parameter is

acceptable to the majority of the faculty respondents of Institute “A”.

INFRASTRUCTURE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in ten questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.374

Standard deviation (s) = 0.520

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.095

t stat = ( x - µ)/standard error = -6.591

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[105]  

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Infrastructure” parameter is not

acceptable to the majority of the faculty respondents of Institute “A”.

PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in six questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.739

Standard deviation (s) = 0.709

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.130

t stat = ( x - µ)/standard error = -2.014

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.027

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.027

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Personality Development &

Industry Exposure” parameter is not acceptable to the majority of the faculty respondents

of Institute “A”.

MANAGEMENT AND ADMINISTRATION

The null hypothesis; Ho states that the hypothesized value (µo) (the quantified value of

responses of sample respondents on research based on 1-5 scale) in eleven questions is

greater than or equal to 3. The alternative hypothesis; Hα contradicts the above claim. t

test is employed at 5 % level of significance to test if the null hypothesis can be rejected.

The test uses p-value method (based on TDIST function of MS Excel) to check if Ho can

be rejected.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 2.417

Standard deviation (s) = 0.836

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.153

t stat = ( x - µ)/standard error = -3.820

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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[107]  

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the “Management & Administration”

parameter is not acceptable to the majority of the faculty respondents of Institute “A”.

SELECTION PROCESS

SQ2. Selection process of faculty is fair and standardized.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.967

Standard deviation (s) = 0.490

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.089

t stat = ( x - µ)/standard error =-22.722

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Selection process of

faculty is fair and standardized” is not acceptable to the majority of the faculty

respondents of Institute “A”.

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[108]  

SQ3. The criteria followed for faculty recruitment is uniform.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.967

Standard deviation (s) = 0.524

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.096

t stat = ( x - µ)/standard error = -21.249

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The criteria followed for

faculty recruitment is uniform” is not acceptable to the majority of the faculty

respondents of Institute “A”.

ACADEMIC EXCELLENCE

AQ4. The faculty is encouraged to participate in curriculum development.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.289

Standard deviation (s) = 0.136

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.025

t stat = ( x - µ)/standard error = -109.484

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[109]  

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty is encouraged

to participate in curriculum development” is not acceptable to the majority of the faculty

respondents of Institute “A”.

AQ6. Faculty Development Programmes (FDP) are organized on a regular basis within

the campus to ensure employment of latest technology.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.174

Standard deviation (s) = 0.070

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.013

t stat = ( x - µ)/standard error = -221.144

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Faculty Development

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[110]  

Programmes are organized on a regular basis within the campus to ensure employment of

latest technology” is not acceptable to the majority of the faculty respondents of Institute

“A”.

AQ7. Research and Development (R & D) support available for the faculty members is

sufficient and well equipped for successful innovation.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.179

Standard deviation (s) = 0.060

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.011

t stat = ( x - µ)/standard error = -259.211

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “R & D support available

for the faculty members is sufficient and well equipped for successful innovation” is not

acceptable to the majority of the faculty respondents of Institute “A”.

AQ8. There are adequate numbers of PhD holders in each department.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.412

Standard deviation (s) = 0.150

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µ = 3

Sample size; n = 30

Standard error = s/√n =0.027

t stat = ( x - µ)/standard error = -94.769

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “There are adequate

numbers of PhD holders in each department” is not acceptable to the majority of the

faculty respondents of Institute “A”.

AQ9. The faculty has good number of publications of research papers.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.693

Standard deviation (s) = 0.244

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.045

t stat = ( x - µ)/standard error =-51.750

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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[112]  

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty has good

number of publications of research papers” is not acceptable to the majority of the faculty

respondents of Institute “A”.

AQ10. The institution holds an adequate number of patents.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.232

Standard deviation (s) = 0.083

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.015

t stat = ( x - µ)/standard error = -183.225

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The institution holds an

adequate number of patents” is not acceptable to the majority of the faculty respondents

of Institute “A”.

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AQ11. The salary structure of the faculty is satisfactory and motivating.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.261

Standard deviation (s) = 0.095

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.017

t stat = ( x - µ)/standard error =-157.369

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The salary structure of the

faculty is satisfactory and motivating” is not acceptable to the majority of the faculty

respondents of Institute “A”.

AQ12. The appraisal is given on the basis of past performance and future potential.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.239

Standard deviation (s) = 0.092

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.017

t stat = ( x - µ)/standard error = -165.222

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The appraisal is given on

the basis of past performance and future potential” is not acceptable to the majority of the

faculty respondents of Institute “A”.

AQ14. Seminar Grant (SG) given to the faculty proves to be motivational.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.154

Standard deviation (s) = 0.053

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -291.807

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Seminar Grant (SG) given

to the faculty proves to be motivational” is not acceptable to the majority of the faculty

respondents of Institute “A”.

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AQ15. The Institute gives Teacher Research Fellowship (TRF) in optimum number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.165

Standard deviation (s) = 0.038

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.007

t stat = ( x - µ)/standard error = -404.000

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Institute gives

Teacher Research Fellowship (TRF) in optimum number” is not acceptable to the

majority of the faculty respondents of Institute “A”.

INFRASTRUCTURE

IQ1. The communication cell for internal and external communication towards students,

faculty, staff and stakeholders through modern means of communication like emails, etc.

is well equipped and up to the standard.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.214

Standard deviation (s) = 0.080

µ = 3

Sample size; n = 30

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Standard error = s/√n = 0.015

t stat = ( x - µ)/standard error =-191.722

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The communication cell

for internal and external communication towards students, faculty, staff and stakeholders

through modern means of communication like emails, etc. is well equipped and up to the

standard” is not acceptable to the majority of the faculty respondents of Institute “A”.

IQ2. The hostel, residential, canteen and other recreational facilities are satisfactory for

the faculty.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.239

Standard deviation (s) = 0.115

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.021

t stat = ( x - µ)/standard error = -131.571

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The hostel, residential,

canteen and other recreational facilities are satisfactory for the faculty” is not acceptable

to the majority of the faculty respondents of Institute “A”.

IQ3. The faculty / staff rooms in the institute are spacious, well furnished and adequate in

number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.300

Standard deviation (s) = 0.127

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.023

t stat = ( x - µ)/standard error = -116.367

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty / staff rooms

in the institute are spacious, well furnished and adequate in number” is not acceptable to

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the majority of the faculty respondents of Institute “A”.

IQ4. The faculty members are provided with sufficient necessary facilities for doing their

academic work (e.g. PC, Internet, Library support, etc).

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.232

Standard deviation (s) =0.102

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.019

t stat = ( x - µ)/standard error = -148.959

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty members are

provided with sufficient necessary facilities for doing their academic work (e.g. PC,

Internet, Library support, etc)” is not acceptable to the majority of the faculty respondents

of Institute “A”.

IQ5. The printers are in adequate number within the departments.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.346

Standard deviation (s) =0.118

µ = 3

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Sample size; n = 30

Standard error = s/√n = 0.022

t stat = ( x - µ)/standard error = -122.837

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The printers are in

adequate number within the departments” is not acceptable to the majority of the faculty

respondents of Institute “A”.

IQ6. A secured Wi-Fi facility for the faculty is well channelized to provide easy access.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.282

Standard deviation (s) = 0.118

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.021

t stat = ( x - µ)/standard error = -126.531

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

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Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “A secured Wi-Fi facility

for the faculty is well channelized to provide easy access” is not acceptable to the

majority of the faculty respondents of Institute “A”.

IQ7. The library is well equipped with books, National, International & E Journals and

internet facility for the faculty for their research & development.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.152

Standard deviation (s) =0.052

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.010

t stat = ( x - µ)/standard error = -299.000

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The library is well

equipped with books, National, International & E Journals and internet facility for the

faculty for their research & development” is not acceptable to the majority of the faculty

respondents of Institute “A”.

IQ8. The faculty can visit the library with ease whenever they find time during the

holidays, weekends and off hours.

Null hypothesis; Ho: µo ≥ 3

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Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.143

Standard deviation (s) = 0.065

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -240.832

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty can visit the

library with ease whenever they find time during the holidays, weekends and off hours”

is not acceptable to the majority of the faculty respondents of Institute “A”.

IQ9. The toilets for the faculty (for both males & females) are hygienic and in adequate

number.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.282

Standard deviation (s) = 0.124

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.023

t stat = ( x - µ)/standard error = -119.861

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The toilets for the faculty

(for both males & females) are hygienic and in adequate number” is not acceptable to the

majority of the faculty respondents of Institute “A”.

IQ10. Parking facility for the faculty vehicle is spacious.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.182

Standard deviation (s) = 0.050

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.009

t stat = ( x - µ)/standard error = -309.062

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Parking facility for the

faculty vehicle is spacious” is not acceptable to the majority of the faculty respondents of

Institute “A”.

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PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

PDQ1. There is adequate Industry Institute Interaction for the faculty development.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.512

Standard deviation (s) = 0.169

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.031

t stat = ( x - µ)/standard error = -80.487

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “There is adequate Industry

Institute Interaction for the faculty development” is not acceptable to the majority of the

faculty respondents of Institute “A”.

PDQ2. Various activities are arranged for enhancement of soft and life skills of the

faculty.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.529

Standard deviation (s) = 0.179

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.033

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t stat = ( x - µ)/standard error = -75.392

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Various activities are

arranged for enhancement of soft and life skills of the faculty” is not acceptable to the

majority of the faculty respondents of Institute “A”.

PDQ3. The faculty has a conducive atmosphere for the development of the requisite

competencies.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.482

Standard deviation (s) = 0.179

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.033

t stat = ( x - µ)/standard error = -77.000

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

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cannot be accepted. Hence it can be inferred that the question “The faculty has a

conducive atmosphere for the development of the requisite competencies” is not

acceptable to the majority of the faculty respondents of Institute “A”.

PDQ4. Eminent professors, senior industry executives and successful personalities are

invited for guest lectures for interaction with faculty from time to time.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.441

Standard deviation (s) = 0.152

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.028

t stat = ( x - µ)/standard error = -92.238

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Eminent professors, senior

industry executives and successful personalities are invited for guest lectures for

interaction with faculty from time to time” is not acceptable to the majority of the faculty

respondents of Institute “A”.

PDQ5. The faculty exchange programmes for giving exposure to the faculty provide

platform for their academic growth.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

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Weighted average ( x ) = 0.310

Standard deviation (s) = 0.113

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.021

t stat = ( x - µ)/standard error = -129.882

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The faculty exchange

programmes for giving exposure to the faculty provide platform for their academic

growth” is not acceptable to the majority of the faculty respondents of Institute “A”.

PDQ6. Proper guidance is provided to the faculty in the live projects.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.465

Standard deviation (s) = 0.182

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.033

t stat = ( x - µ)/standard error = -76.150

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Proper guidance is

provided to the faculty in the live projects” is not acceptable to the majority of the faculty

respondents of Institute “A”.

MANAGEMENT AND ADMINISTRATION

MQ1. The institution has a well defined HR policy for teaching, technical and

administrative staff which includes their integration, career paths, conditions of service

and welfare.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.165

Standard deviation (s) = 0.071

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.013

t stat = ( x - µ)/standard error = -220.085

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

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cannot be accepted. Hence it can be inferred that the question “The institution has a well

defined HR policy for teaching, technical and administrative staff which includes their

integration, career paths, conditions of service and welfare” is not acceptable to the

majority of the faculty respondents of Institute “A”.

MQ2. A well defined Academic Policy is in place and all the stake holders are familiar

with the same.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.150

Standard deviation (s) = 0.065

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -240.795

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “A well defined Academic

Policy is in place and all the stake holders are familiar with the same” is not acceptable to

the majority of the faculty respondents of Institute “A”.

MQ3. The Director/Head of Departments / Officers have the academic, financial and

administrative freedom.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

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Weighted average ( x ) = 0.152

Standard deviation (s) = 0.065

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.012

t stat = ( x - µ)/standard error = -239.979

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Director/Head of

Departments / Officers have the academic, financial and administrative freedom” is not

acceptable to the majority of the faculty respondents of Institute “A”.

MQ4. Decisions are taken by the duly constituted Board of Governors (BOG) / Board of

Studies (BOS) / Board of Faculty (BOF) assisted by various committees and represented

by faculty and experts.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.400

Standard deviation (s) = 0.182

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.033

t stat = ( x - µ)/standard error = -78.042

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Decisions are taken by the

duly constituted Board of Governors (BOG) / Board of Studies (BOS) / Board of Faculty

(BOF) assisted by various committees and represented by faculty and experts” is not

acceptable to the majority of the faculty respondents of Institute “A”.

MQ5. Sufficient surplus is available for cost recovery as well as for expansion, quality

and efficiency improvement.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.313

Standard deviation (s) = 0.134

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.025

t stat = ( x - µ)/standard error = -109.566

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Sufficient surplus is

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available for cost recovery as well as for expansion, quality and efficiency improvement”

is not acceptable to the majority of the faculty respondents of Institute “A”.

MQ6. There is transparency in overall working of the institution.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.177

Standard deviation (s) = 0.072

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.013

t stat = ( x - µ)/standard error = -215.643

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “There is transparency in

overall working of the institution” is not acceptable to the majority of the faculty

respondents of Institute “A”.

MQ7. Communication flow between management and faculty is easier.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.177

Standard deviation (s) = 0.072

µ = 3

Sample size; n = 30

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Standard error = s/√n = 0.013

t stat = ( x - µ)/standard error = -215.643

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “Communication flow

between management and faculty is easier” is not acceptable to the majority of the faculty

respondents of Institute “A”.

MQ8. The leadership style exhibited by the Dean and Director is participative.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.150

Standard deviation (s) = 0.063

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.011

t stat = ( x - µ)/standard error = -248.905

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

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cannot be accepted. Hence it can be inferred that the question “The leadership style

exhibited by the Dean and Director is participative” is not acceptable to the majority of

the faculty respondents of Institute “A”.

MQ9. The working relationships between the Head of Departments and their faculty

members are synchronized for growth of institute.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.113

Standard deviation (s) = 0.045

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.008

t stat = ( x - µ)/standard error = -354.218

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The working relationships

between the Head of Departments and their faculty members are synchronized for growth

of institute” is not acceptable to the majority of the faculty respondents of Institute “A”.

MQ10. The working relationships between the Dean and the faculty members are good.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.152

Standard deviation (s) = 0.076

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µ = 3

Sample size; n = 30

Standard error = s/√n = 0.014

t stat = ( x - µ)/standard error = -204.093

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The working relationships

between the Dean and the faculty members are good” is not acceptable to the majority of

the faculty respondents of Institute “A”.

MQ11. The Quality Improvement Programme (QIP) is updated on regular intervals.

Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Weighted average ( x ) = 0.469

Standard deviation (s) = 0.207

µ = 3

Sample size; n = 30

Standard error = s/√n = 0.038

t stat = ( x - µ)/standard error = -66.831

TDIST = IF(tstat >0,1- TDIST(tstat,n-1,1), TDIST(ABS(tstat),n-1,1)) = 0.000

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Null hypothesis; Ho: µo ≥ 3

Alternative hypothesis; Hα: µo < 3

Type of test t test (lower tail)

Level of significance 0.05

p value 0.000

Since p value is less than the level of significance (α = 0.05), so the null hypothesis

cannot be accepted. Hence it can be inferred that the question “The Quality Improvement

Programme (QIP) is updated on regular intervals” is not acceptable to the majority of the

faculty respondents of Institute “A”.

To avoid repeatitive work, the details of the analysis are not repeated in the body of text.

The tables showing the p value for Institutes “B”, “C”, “D”, “E” and “F” have been given

in the appendix 4.

4.2 FACTOR ANALYSIS

4.2.1 Institute “A” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.3: Showing the Rotated Component Matrix for 6 components for Institute “A” (students) Component 1 2 3 4 5 6 SQ1 .302 .094 .349 -.036 .126 .028SQ2 .428 .056 .278 -.020 .215 .036SQ5 .525 -.349 .012 .171 .173 .317AQ3 .176 -.175 .335 .423 -.069 -.059AQ4 .034 .064 .641 .221 .111 .226AQ5 .080 .221 .622 .241 .291 -.109AQ6 .039 .006 .780 .080 .077 .113AQ7 -.074 .046 .625 .352 .175 -.028AQ8 .245 -.129 .555 .272 .023 .226AQ9 .162 .194 .611 -.065 .164 .270AQ11 .331 -.011 .555 .010 .017 .327AQ13 -.048 .022 .163 .006 .150 .354AQ14 -.127 .046 .185 .270 .514 .267IQ2 .637 .303 .058 .109 .135 -.077IQ3 .638 .229 .133 .171 -.011 .066IQ4 .474 .102 -.158 .050 -.013 -.028IQ5 .046 .542 .098 -.112 -.057 .503IQ6 .041 .369 .116 .218 -.144 .046IQ7 .088 .388 -.083 .375 -.109 .288IQ8 .332 .064 -.014 .239 -.068 .199IQ9 .345 .112 .036 .077 .064 .518IQ10 .078 .533 -.091 .204 -.288 .180IQ11 .345 .245 .123 .223 -.104 .001IQ12 .222 .439 .179 .101 .113 .489IQ13 -.081 .238 -.045 .388 .032 .596IQ14 .105 .593 .178 .038 .067 -.192IQ15 .256 .188 .110 .582 .116 .087IQ17 -.078 .703 .026 -.037 .158 .042IQ18 -.008 .749 .100 -.160 -.086 .047IQ19 -.044 .667 .143 -.145 .062 .030IQ20 .415 .345 .265 .025 .132 .357IQ22 .253 .530 .002 .080 .096 -.064IQ26 .267 .211 .076 .464 .391 -.142IQ27 .177 .320 -.038 .476 .144 -.073IQ28 .145 .388 -.170 .313 .513 .073IQ29 .183 .465 -.064 .330 .000 -.018IQ30 .313 .029 .185 .468 .061 .219IQ31 .292 .504 -.135 .134 .149 .146PDQ1 .422 -.018 .252 .063 .252 .425PDQ2 .202 -.037 .131 .032 .487 .478

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Component 1 2 3 4 5 6 PDQ3 .353 -.138 .163 -.110 .238 .484PDQ4 .532 -.164 .249 .161 .293 .128PDQ5 -.005 -.054 .226 .147 .581 .146PDQ6 -.080 .065 .366 .050 .420 .112PDQ7 .236 -.106 -.048 .156 .485 .322PDQ8 .134 .007 .297 .151 .438 .379PDQ10 .347 .074 .352 .062 .467 .089PDQ11 .305 -.028 .040 .318 .449 -.052PDQ12 .240 .053 .075 -.035 .756 -.026PDQ14 .243 -.076 .131 .208 .601 .059PQ1 .532 .180 .122 .107 .250 .308PQ2 .370 -.029 .164 .241 .321 .288PQ3 .243 .303 .480 .198 .216 .054PQ5 .482 .024 .189 .192 .166 .342PQ6 .417 .105 .251 .128 .199 .393MQ1 .212 .121 .194 .388 .159 .173MQ2 -.162 -.040 .080 .519 .074 .315MQ3 -.046 .152 .356 .526 .293 .109MQ4 .014 -.092 .152 .646 .213 .011MQ7 .310 -.056 .136 .622 .173 .155MQ8 .465 -.111 .228 .499 .197 -.050MQ9 -.052 .242 .188 -.005 .346 .163Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 37 iterations.

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Table 4.4: Showing the factor loadings for 6 factors for Institute “A” (students)

Factor Name Items Factor

Loadings

Factor 1

SQ2 Entrance examination helps in the selection process 0.428 SQ5 Fee structure helps in the selection process 0.525 IQ2 Laboratories are well equipped 0.637 IQ3 Facilities of sports are sufficient 0.638 IQ4 Communication laboratory is modernized and well equipped 0.474 IQ8 Reading and internet facilities are available in the hostel 0.332 IQ9 Mess food is hygienic and homely 0.345 IQ11 Boys & girls common rooms are in adequate number 0.345 IQ20 Parking facility for the students’ vehicle is spacious 0.415

PDQ4 Sufficient clubs and societies providing developmental activities 0.532

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.532

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.37

PQ5 A good number of recruiters visit the campus 0.482 PQ6 Reputed companies visit the campus for the recruitment 0.417

Factor 2

IQ5 Class rooms are in sufficient number 0.542 IQ6 Library is well equipped 0.369 IQ7 Students can visit the library whenever they find time 0.388 IQ10 Toilets for the students are in adequate number 0.533 IQ14 Auditorium / Amphitheater is well equipped 0.593

IQ17 Potable water supply and outlets for drinking water at strategic locations 0.703

IQ18 Back up electric supply is available when required 0.749

IQ19 Facility for sewage disposal is sufficient and appropriate 0.667 IQ22 Adequate safety provisions for calamities 0.53 IQ29 CCTV Security System covers vital areas of the institute 0.465 IQ31 Recreational facilities are satisfactory for the students 0.504

Factor 3

SQ1 Uniform criteria followed at the time of giving admission 0.349 AQ4 Teachers are committed, sincere and dedicated 0.641 AQ5 Faculty is qualified and competent 0.622 AQ6 Effective teaching-learning process 0.78 AQ7 Students’ doubts are cleared through tutorials 0.625 AQ8 Flexible teaching methods 0.555 AQ9 Faculty is easily available to students 0.611 AQ11 Presence of guidance, counseling and mentoring activities 0.555

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Factor Name Items Factor

Loadings

PQ3 Project work and summer training is attached due importance 0.48

Factor 4

AQ3 Students come prepared for classes 0.423 IQ15 A secured Wi-Fi facility for the students 0.582

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.464

IQ27 Transport facility from remote areas 0.476 IQ30 LCD projectors equipped classrooms are adequate in number 0.468

MQ1 A well defined Academic Policy is in place 0.388

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.519

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.526

MQ4 Transparency in working of the institution 0.646 MQ7 Student grievances’ are timely addressed by the authority 0.622 MQ8 Efficient Grievance Redressal Committee 0.499

Factor 5

AQ14 Fair & transparent evaluation system 0.514 IQ28 Post, Banking Facility / ATM is located in a centralized location 0.513

PDQ2 Entrepreneurship cell conduct sufficient activities 0.487 PDQ5 Adequate activities for enhancement of soft and life skills 0.581

PDQ6 Good hands - on skills are imparted during the workshop practices 0.42

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.485

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.438

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.467

PDQ11 Student exchange programmes are beneficial 0.449 PDQ12 Proper guidance is provided in the live projects for research 0.756

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.601

MQ9 Institute focuses on the prevention and prohibition of ragging 0.346

Factor 6

SQ3 The students admitted have required basic knowledge 0.428 AQ13 Question papers follow a fixed structure 0.354 IQ12 Stationary store and reprography facility in centralized location 0.489 IQ13 First aid cum sick room with required facilities 0.596

PDQ1 Enough opportunities for Industry Institute Interaction 0.425

PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.484

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Interpretations: Looking at the above table, it can be seen that SQ2, SQ5, IQ2, IQ3, IQ4,

IQ8, IQ9, IQ11, IQ20, PDQ4, PQ1, PQ2, PQ5 and PQ6 are substantially loaded on

Factor 1, IQ5, IQ6, IQ7, IQ10, IQ14, IQ17, IQ18, IQ19, IQ22, IQ29 and IQ31 are

substantially loaded on Factor 2, SQ1, AQ4, AQ5, AQ6, AQ7, AQ8, AQ9, AQ11 and

PQ3 are substantially loaded on Factor 3, AQ3, IQ15, IQ26, IQ27, IQ30, MQ1, MQ2,

MQ3, MQ4, MQ7 and MQ8 are substantially loaded on Factor 4, AQ14, IQ28, PDQ2,

PDQ5, PDQ6, PDQ7, PDQ8, PDQ10, PDQ11, PDQ12, PDQ14 and MQ9 are

substantially loaded on Factor 5, while SQ3, AQ13, IQ12, IQ13, PDQ1 and PDQ3 are

substantially loaded on Factor 6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.332 - 0.638. The aspects included

namely:

a) Entrance examination helps in the selection process

b) Fee structure helps in the selection process

c) Laboratories are well equipped

d) Facilities of sports are sufficient

e) Communication laboratory is modernized and well equipped

f) Reading and internet facilities are available in the hostel

g) Mess food is hygienic and homely

h) Boys & girls common rooms are in adequate number

i) Parking facility for the students’ vehicle is spacious

j) Sufficient clubs and societies providing developmental activities

k) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

l) Student service centre exists to provide efficient academic, financial,

administrative services

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m) A good number of recruiters visit the campus

n) Reputed companies visit the campus for the recruitment

Factor – 2: The factor loadings ranged between 0.369 - 0.749. The aspects included

namely:

a) Class rooms are in sufficient number

b) Library is well equipped

c) Students can visit the library whenever they find time

d) Toilets for the students are in adequate number

e) Auditorium / Amphitheater is well equipped

f) Potable water supply and outlets for drinking water at strategic locations

g) Back up electric supply is available when required

h) Facility for sewage disposal is sufficient and appropriate

i) Adequate safety provisions for calamities

j) CCTV Security System covers vital areas of the institute

k) Recreational facilities are satisfactory for the students

Factor – 3: The factor loadings ranged between 0.349 - 0.78. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) Teachers are committed, sincere and dedicated

c) Faculty is qualified and competent

d) Effective teaching-learning process

e) Students’ doubts are cleared through tutorials

f) Flexible teaching methods

g) Faculty is easily available to students

h) Presence of guidance, counseling and mentoring activities

i) Project work and summer training is attached due importance

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Factor – 4: The factor loadings ranged between 0.388 - 0.646. The aspects included

namely:

a) Students come prepared for classes

b) A secured Wi-Fi facility for the students

c) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

d) Transport facility from remote areas

e) LCD projectors equipped classrooms are adequate in number

f) A well defined Academic Policy is in place

g) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

h) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

i) Transparency in working of the institution

j) Student grievances’ are timely addressed by the authority

k) Efficient Grievance Redressal Committee

Factor – 5: The factor loadings ranged between 0.346 - 0.756. The aspects included

namely:

a) Fair & transparent evaluation system

b) Post, Banking Facility / ATM is located in a centralized location

c) Entrepreneurship cell conduct sufficient activities

d) Adequate activities for enhancement of soft and life skills

e) Good hands - on skills are imparted during the workshop practices

f) Students are encouraged to participate in co-curricular & extra-curricular

activities

g) Atmosphere is conducive for the development of the requisite competencies

h) Eminent professors, senior industry executives are invited for guest lectures

i) Student exchange programmes are beneficial

j) Proper guidance is provided in the live projects for research

k) Fresher party, farewell party, techno fests etc are well organized under

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disciplined environment

l) Institute focuses on the prevention and prohibition of ragging

Factor – 6: The factor loadings ranged between 0.354 - 0.596. The aspects included

namely:

a) The students admitted have required basic knowledge

b) Question papers follow a fixed structure

c) Stationary store and reprography facility in centralized location

d) First aid cum sick room with required facilities

e) Enough opportunities for Industry Institute Interaction

f) Industry Institute Partnership Cell (IIPC) is active and efficient

4.2.2 Institute “A” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.5: Showing the Rotated Component Matrix for 5 components for Institute “A” (faculty members) Component 1 2 3 4 5SQ2 .446 .463 .414 .168 .045SQ3 .490 .582 .447 .226 .006AQ4 .475 .532 .301 .165 -.049AQ6 .637 .513 .050 .067 .379AQ7 .102 .794 -.204 .044 -.017AQ8 .231 .736 -.112 .094 .103AQ9 .204 .690 .056 .034 .149AQ10 .012 .797 -.130 -.155 .018AQ11 -.083 .839 .246 .153 -.132AQ12 .126 .664 .260 .163 .131AQ14 -.372 .109 -.336 .578 -.041AQ15 .516 .152 -.018 .490 .225IQ1 .345 .206 .114 .598 -.014IQ2 .591 .417 -.257 .299 -.033IQ3 .450 .292 .136 .328 .217IQ4 .504 -.036 .391 .177 -.475IQ5 .193 .005 .157 .517 .011IQ6 -.123 .306 -.098 .139 -.744IQ7 .400 .433 .377 -.005 -.053IQ8 .372 .154 .109 .105 .553IQ9 .281 .141 .453 .584 .031IQ10 .026 -.034 .848 -.141 .275PDQ1 .901 -.006 -.054 .084 .007PDQ2 .526 .057 -.121 .188 .576PDQ3 .489 .196 .353 .413 .130PDQ4 .224 .069 .177 .428 .677PDQ5 .075 -.067 -.025 .858 .237PDQ6 .728 .065 -.117 .194 .263MQ1 .572 .457 .309 .271 .119MQ2 .650 .314 .379 .166 .239MQ3 .621 .436 .231 .041 .091MQ4 .761 .310 .161 .029 .149MQ5 .696 .037 .235 .178 .373MQ6 .473 .454 .526 .122 .353MQ7 .130 .291 .220 .434 .591MQ8 .249 .737 .121 .098 -.084MQ9 -.022 .009 .740 .310 -.024MQ10 .254 .483 .379 .416 .103MQ11 .666 .358 .335 .136 .357Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 8 iterations.

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Table 4.6: Showing the factor loadings for 5 factors for Institute “A” (faculty members) Factor Name Items Factor

Loadings

Factor 1

AQ6 Faculty Development Programmes are organized on a regular basis 0.637

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.516

IQ2 Recreational facilities are satisfactory for the faculty 0.591

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.45

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.504

PDQ1 Adequate Industry Institute Interaction for the faculty development 0.858

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.576

PDQ6 Proper guidance is provided to the faculty in the live projects 0.728

MQ1 Institution has a well defined HR policy 0.572 MQ2 A well defined Academic Policy is in place 0.65

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.621

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.761

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.696

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.666

Factor 2

SQ2 Selection process of faculty is fair and standardized 0.463 SQ3 Criteria followed for faculty recruitment is uniform 0.582 AQ4 Faculty is encouraged to participate in curriculum development 0.532

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.794

AQ8 Adequate numbers of PhD holders in each department 0.736 AQ9 Faculty has good number of publications of research papers 0.69 AQ10 Institution holds an adequate number of patents 0.797 AQ11 Salary structure of the faculty is satisfactory and motivating 0.839

AQ12 Appraisal is given on the basis of past performance and future potential 0.664

IQ7 Library is well equipped 0.433 MQ8 Leadership style exhibited by the Dean and Director is participative 0.737

MQ10 Working relationships between the Dean and the faculty members are good 0.483

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Factor Name Items Factor

Loadings

Factor 3

IQ10 Parking facility for the faculty vehicle is spacious 0.848 MQ6 Transparency in working of the institution 0.526

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.74

Factor 4

AQ14 Seminar Grant (SG) is given to the faculty 0.578

IQ1 Communication cell for internal and external communication is well equipped 0.598

IQ5 Printers are in adequate number within the departments 0.517 IQ9 Toilets for the faculty are hygienic and in adequate number 0.584

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.677

Factor 5

IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.744 IQ8 Faculty can visit the library with ease whenever they find time 0.553

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.901

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.489

MQ7 Communication flow between management and faculty is easier 0.591 Interpretations: Looking at the above table, it can be seen that AQ6, AQ15, IQ2, IQ3,

IQ4, PDQ1, PDQ3, PDQ6, MQ1, MQ2, MQ3, MQ4, MQ5 and MQ11 are substantially

loaded on Factor 1, SQ2, SQ3, AQ4, AQ7, AQ8, AQ9, AQ10, AQ11, AQ12, IQ7, MQ8

and MQ10 are substantially loaded on Factor 2, IQ10, MQ6 and MQ9 are substantially

loaded on Factor 3, AQ14, IQ1, IQ5, IQ9 and PDQ5 are substantially loaded on Factor 4,

while IQ6, IQ8, PDQ2, PDQ4 and MQ7 are substantially loaded on Factor 5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

Factor – 1: The factor loadings ranged between 0.45 - 0.858. The aspects included

namely:

a) Faculty Development Programmes are organized on a regular basis

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b) Institute gives Teacher Research Fellowship (TRF) in optimum number

c) Recreational facilities are satisfactory for the faculty

d) Faculty / staff rooms are spacious, well furnished and adequate in number

e) Faculty members are provided with sufficient necessary facilities for doing

academic work

f) Adequate Industry Institute Interaction for the faculty development

g) Faculty has a conducive atmosphere for the development of the requisite

competencies

h) Proper guidance is provided to the faculty in the live projects

i) Institution has a well defined HR policy

j) A well defined Academic Policy is in place

k) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

l) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

m) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

n) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 2: The factor loadings ranged between 0.433 - 0.839. The aspects included

namely:

a) Selection process of faculty is fair and standardized

b) Criteria followed for faculty recruitment is uniform

c) Faculty is encouraged to participate in curriculum development

d) R & D support available is sufficient and well equipped for successful

innovation

e) Adequate numbers of PhD holders in each department

f) Faculty has good number of publications of research papers

g) Institution holds an adequate number of patents

h) Salary structure of the faculty is satisfactory and motivating

i) Appraisal is given on the basis of past performance and future potential

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j) Library is well equipped

k) Leadership style exhibited by the Dean and Director is participative

l) Working relationships between the Dean and the faculty members are good

Factor – 3: The factor loadings ranged between 0.526 - 0.848. The aspects included

namely:

a) Parking facility for the faculty vehicle is spacious

b) Transparency in working of the institution

c) Working relationships between the Head of Departments and their faculty

members are synchronized

Factor – 4: The factor loadings ranged between 0.517 - 0.677. The aspects included

namely:

a) Seminar Grant (SG) is given to the faculty

b) Communication cell for internal and external communication is well equipped

c) Printers are in adequate number within the departments

d) Toilets for the faculty are hygienic and in adequate number

e) Faculty exchange programmes for giving exposure to the faculty

Factor – 5: The factor loadings ranged between 0.489 - 0.901. The aspects included

namely:

a) A secured Wi-Fi facility is well channelized to provide easy access

b) Faculty can visit the library with ease whenever they find time

c) Activities are arranged for enhancement of soft and life skills of the faculty

d) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

e) Communication flow between management and faculty is easier

4.2.3 Institute “B” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

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ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.7: Showing the Rotated Component Matrix for 6 components for Institute “B” (students) Component 1 2 3 4 5 6 SQ1 .154 .227 -.029 -.118 .101 .707SQ2 .108 .016 -.102 -.178 .323 .549SQ3 .017 .020 .018 .322 -.037 .499SQ5 .153 -.260 -.036 .207 .246 .249AQ3 .281 -.047 .105 .281 -.179 .398AQ4 .583 .029 .221 -.159 -.074 .116AQ5 .425 .169 .139 -.131 -.095 .522AQ6 .551 .004 .189 .195 -.075 .181AQ7 .658 .216 -.058 -.033 -.084 -.151AQ8 .581 -.007 -.082 -.159 .283 .070AQ9 .488 .321 .145 .211 -.141 .105AQ11 .658 .128 .118 .022 .064 .162AQ13 .332 .107 .292 .042 .141 .013AQ14 .092 .224 .132 .596 .070 -.083IQ2 .067 .256 .287 .239 .366 .341IQ3 .154 .051 .484 .200 .117 .111IQ4 .173 -.078 .352 .202 .474 .092IQ5 .220 .297 .417 -.162 .064 -.067IQ6 .236 .257 .431 -.132 .029 .213IQ7 .042 .362 .126 -.075 .089 .099IQ8 .131 .378 .125 .308 .094 -.145IQ9 -.022 .301 .154 .086 .575 -.033IQ10 -.035 .667 .222 -.040 .046 .145IQ11 .095 .424 .308 .074 .189 .283IQ12 -.229 .619 .096 .142 -.004 .201

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Component 1 2 3 4 5 6 IQ13 .009 .171 .130 -.031 .520 .000IQ14 .020 .356 .550 .080 -.051 .317IQ15 .022 .234 .286 .213 .594 .072IQ17 .051 .534 .104 .014 .079 .044IQ18 .185 .532 .103 .009 -.218 -.017IQ19 .103 .660 -.217 .065 .170 -.036IQ20 .137 .526 .171 .228 .149 -.268IQ22 .150 .591 .231 .126 .136 .014IQ26 .377 .147 .524 -.195 .127 -.001IQ27 .077 .290 .592 .173 .161 .037IQ28 .119 .275 .288 -.121 .453 .057IQ29 .112 .038 .351 -.025 .314 -.288IQ30 -.134 .124 .611 .094 .224 -.179IQ31 .039 .193 .655 .190 .066 -.155PDQ1 .415 -.142 .432 .317 -.147 .183PDQ2 .642 .002 .179 .229 .020 .169PDQ3 .342 .127 .529 .259 -.058 .185PDQ4 .127 .466 -.009 .111 .159 -.065PDQ5 .078 .393 .323 .501 -.003 .048PDQ6 .505 .206 .079 .262 .117 -.129PDQ7 .003 .237 .053 .523 .243 -.215PDQ8 .097 .328 .239 .528 .119 .280PDQ10 .419 .102 .316 .408 .176 .041PDQ11 .463 -.148 .033 .403 .215 -.116PDQ12 .455 -.029 .187 .196 .389 -.155PDQ14 .290 -.256 .114 .071 .441 .200PQ1 .042 -.094 .306 .553 .132 .128PQ2 .491 -.019 -.005 .408 .268 -.001PQ3 .121 -.142 .048 .537 .155 .171PQ5 .159 -.128 .510 .277 .167 .507PQ6 .077 -.083 .358 .210 .345 .426MQ1 .584 .094 .063 .327 .223 .084MQ2 .300 .211 -.070 .104 .410 -.030MQ3 .435 .241 .121 .088 .269 .223MQ4 .493 -.052 .255 .200 .297 .194MQ7 .150 .030 -.122 .336 .534 .114MQ8 .572 .013 -.145 -.045 .365 .228MQ9 .102 .269 -.212 .518 -.218 .024Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 13 iterations.

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Table 4.8: Showing the factor loadings for 6 factors for Institute “B” (students) Factor Name Items Factor

Loadings

Factor 1

AQ4 Teachers are committed, sincere and dedicated 0.583 AQ6 Effective teaching-learning process 0.551 AQ7 Students’ doubts are cleared through tutorials 0.658 AQ8 Flexible teaching methods 0.581 AQ9 Faculty is easily available to students 0.488 AQ11 Presence of guidance, counseling and mentoring activities 0.658 AQ13 Question papers follow a fixed structure 0.332 PDQ2 Entrepreneurship cell conduct sufficient activities 0.642

PDQ6 Good hands - on skills are imparted during the workshop practices 0.505

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.419

PDQ11 Student exchange programmes are beneficial 0.463

PDQ12 Proper guidance is provided in the live projects for research 0.455

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.491

MQ1 A well defined Academic Policy is in place 0.584

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.435

MQ4 Transparency in working of the institution 0.493 MQ8 Efficient Grievance Redressal Committee 0.572

Factor 2

SQ5 Fee structure helps in the selection process 0.26 IQ7 Students can visit the library whenever they find time 0.362 IQ8 Reading and internet facilities are available in the hostel 0.378 IQ10 Toilets for the students are in adequate number 0.667

IQ11 Boys & girls common rooms are in adequate number 0.424 IQ12 Stationary store and reprography facility in centralized location 0.619

IQ17 Potable water supply and outlets for drinking water at strategic locations 0.534

IQ18 Back up electric supply is available when required 0.532 IQ19 Facility for sewage disposal is sufficient and appropriate 0.66 IQ20 Parking facility for the students’ vehicle is spacious 0.526 IQ22 Adequate safety provisions for calamities 0.591

PDQ4 Sufficient clubs and societies providing developmental activities 0.466

Factor 3

IQ3 Facilities of sports are sufficient 0.484 IQ5 Class rooms are in sufficient number 0.474 IQ6 Library is well equipped 0.431

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Factor Name Items Factor

LoadingsIQ14 Auditorium / Amphitheater is well equipped 0.55

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.524

IQ27 Transport facility from remote areas 0.592 IQ29 CCTV Security System covers vital areas of the institute 0.351 IQ30 LCD projectors equipped classrooms are adequate in number 0.611 IQ31 Recreational facilities are satisfactory for the students 0.655

PDQ1 Enough opportunities for Industry Institute Interaction 0.432

PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.529

Factor 4

AQ14 Fair & transparent evaluation system 0.596 PDQ5 Adequate activities for enhancement of soft and life skills 0.501

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.523

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.528

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.553

PQ3 Project work and summer training is attached due importance 0.537 MQ9 Institute focuses on the prevention and prohibition of ragging 0.518

Factor 5

IQ2 Laboratories are well equipped 0.366 IQ4 Communication laboratory is modernized and well equipped 0.417 IQ9 Mess food is hygienic and homely 0.575 IQ13 First aid cum sick room with required facilities 0.52 IQ15 A secured Wi-Fi facility for the students 0.594 IQ28 Post, Banking Facility / ATM is located in a centralized location 0.453

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.441

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.41

MQ7 Student grievances’ are timely addressed by the authority 0.534

Factor 6

SQ1 Uniform criteria followed at the time of giving admission 0.707 SQ2 Entrance examination helps in the selection process 0.549 SQ3 The students admitted have required basic knowledge 0.499 AQ3 Students come prepared for classes 0.398 AQ5 Faculty is qualified and competent 0.522 PQ5 A good number of recruiters visit the campus 0.507 PQ6 Reputed companies visit the campus for the recruitment 0.426

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Interpretations: Looking at the above table, it can be seen that AQ4, AQ6, AQ7, AQ8,

AQ9, AQ11, AQ13, PDQ2, PDQ6, PDQ10, PDQ11, PDQ12, PQ2, MQ1, MQ3, MQ4

and MQ8 are substantially loaded on Factor 1, SQ5, IQ7, IQ8, IQ10, IQ11, IQ12, IQ17,

IQ18, IQ19, IQ20, IQ22 and PDQ4 are substantially loaded on Factor 2, IQ3, IQ5, IQ6,

IQ14, IQ26, IQ27, IQ29, IQ30, IQ31, PDQ1 and PDQ3 are substantially loaded on

Factor 3, AQ14, PDQ5, PDQ7, PDQ8, PQ1, PQ3 and MQ9 are substantially loaded on

Factor 4, IQ2, IQ4, IQ9, IQ13, IQ15, IQ28, PDQ14, MQ2 and MQ7 are substantially

loaded on Factor 5, while SQ1, SQ2, SQ3, AQ3, AQ5, PQ5 and PQ6 are substantially

loaded on Factor 6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.332 - 0.658. The aspects included

namely:

a) Teachers are committed, sincere and dedicated

b) Effective teaching-learning process

c) Students’ doubts are cleared through tutorials

d) Flexible teaching methods

e) Faculty is easily available to students

f) Presence of guidance, counseling and mentoring activities

g) Question papers follow a fixed structure

h) Entrepreneurship cell conduct sufficient activities

i) Good hands - on skills are imparted during the workshop practices

j) Eminent professors, senior industry executives are invited for guest lectures

k) Student exchange programmes are beneficial

l) Proper guidance is provided in the live projects for research

m) Student service centre exists to provide efficient academic, financial,

administrative services

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n) A well defined Academic Policy is in place

o) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

p) Transparency in working of the institution

q) Efficient Grievance Redressal Committee

Factor – 2: The factor loadings ranged between 0.26 - 0.667. The aspects included

namely:

a) Fee structure helps in the selection process

b) Students can visit the library whenever they find time

c) Reading and internet facilities are available in the hostel

d) Toilets for the students are in adequate number

e) Boys & girls common rooms are in adequate number

f) Stationary store and reprography facility in centralized location

g) Potable water supply and outlets for drinking water at strategic locations

h) Back up electric supply is available when required

i) Facility for sewage disposal is sufficient and appropriate

j) Parking facility for the students’ vehicle is spacious

k) Adequate safety provisions for calamities

l) Sufficient clubs and societies providing developmental activities

Factor – 3: The factor loadings ranged between 0.351 - 0.655. The aspects included

namely:

a) Facilities of sports are sufficient

b) Class rooms are in sufficient number

c) Library is well equipped

d) Auditorium / Amphitheater is well equipped

e) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

f) Transport facility from remote areas

g) CCTV Security System covers vital areas of the institute

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h) LCD projectors equipped classrooms are adequate in number

i) Recreational facilities are satisfactory for the students

j) Enough opportunities for Industry Institute Interaction

k) Industry Institute Partnership Cell (IIPC) is active and efficient

Factor – 4: The factor loadings ranged between 0.501 - 0.553. The aspects included

namely:

a) Fair & transparent evaluation system

b) Adequate activities for enhancement of soft and life skills

c) Students are encouraged to participate in co-curricular & extra-curricular

activities

d) Atmosphere is conducive for the development of the requisite competencies

e) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

f) Project work and summer training is attached due importance

g) Institute focuses on the prevention and prohibition of ragging

Factor – 5: The factor loadings ranged between 0.366 - 0.594. The aspects included

namely:

a) Laboratories are well equipped

b) Communication laboratory is modernized and well equipped

c) Mess food is hygienic and homely

d) First aid cum sick room with required facilities

e) A secured Wi-Fi facility for the students

f) Post, Banking Facility / ATM is located in a centralized location

g) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

h) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

i) Student grievances’ are timely addressed by the authority

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Factor – 6: The factor loadings ranged between 0.398 - 0.707. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) Entrance examination helps in the selection process

c) The students admitted have required basic knowledge

d) Students come prepared for classes

e) Faculty is qualified and competent

f) A good number of recruiters visit the campus

g) Reputed companies visit the campus for the recruitment

4.2.4 Institute “B” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.9: Showing the Rotated Component Matrix for 5 components for Institute “B” (faculty members) Component 1 2 3 4 5 SQ2 .022 .494 .134 .614 .176SQ3 .158 .613 .390 .183 .001AQ4 -.050 .433 -.050 .633 .109AQ6 .180 .862 -.015 .114 -.026AQ7 .118 .879 -.043 .191 .128AQ8 .062 .882 -.051 .126 .181AQ9 .025 .881 -.103 .142 -.047

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Component 1 2 3 4 5

AQ10 .223 .706 .290 -.074 .146AQ11 -.174 .344 -.622 .115 -.196AQ12 .059 .879 -.194 .227 .095AQ14 .169 .615 .157 -.018 -.064AQ15 .219 .679 -.114 -.138 .008IQ1 .433 .164 -.066 .088 .767IQ2 .282 .178 .231 -.033 .881IQ3 .213 -.062 -.443 .614 -.198IQ4 .529 .030 -.197 .400 -.429IQ5 .083 .086 .030 .784 -.076IQ6 .552 .222 .625 -.114 -.390IQ7 .908 .113 -.125 -.164 .256IQ8 .918 .084 -.162 .019 .114IQ9 .848 .089 -.338 .060 -.057IQ10 .800 .180 .381 .204 -.117PDQ1 .891 .216 .243 .219 .147PDQ2 .936 .140 .044 -.148 .196PDQ3 .916 .120 .037 .173 -.024PDQ4 .775 .271 .337 .198 .334PDQ5 .808 .268 .405 .162 .005PDQ6 .823 .249 .280 .203 .173MQ1 .784 .234 .373 -.077 -.056MQ2 .827 .121 .225 .029 .211MQ3 .339 .083 .351 .581 .435MQ4 .756 .244 .460 -.019 .325MQ5 .746 .276 .510 .191 -.005MQ6 .418 .671 .352 -.005 .037MQ7 .279 .614 -.306 -.034 .410MQ8 .456 -.164 .546 .285 .297MQ9 .669 -.373 .295 .436 .016MQ10 .924 .057 .207 .135 .116MQ11 .856 .284 -.186 .019 .229Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 24 iterations.

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Table 4.10: Showing the factor loadings for 5 factors for Institute “B” (faculty members) Factor Name Items Factor

Loadings

Factor 1

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.529

IQ7 Library is well equipped 0.908 IQ8 Faculty can visit the library with ease whenever they find time 0.918 IQ9 Toilets for the faculty are hygienic and in adequate number 0.848

IQ10 Parking facility for the faculty vehicle is spacious 0.8

PDQ1 Adequate Industry Institute Interaction for the faculty development 0.891

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.936

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.916

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.775

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.808 PDQ6 Proper guidance is provided to the faculty in the live projects 0.823

MQ1 Institution has a well defined HR policy 0.784

MQ2 A well defined Academic Policy is in place 0.827

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.756

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.746

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.669

MQ10 Working relationships between the Dean and the faculty members are good 0.924

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.856

Factor 2

SQ3 Criteria followed for faculty recruitment is uniform 0.613

AQ6 Faculty Development Programmes are organized on a regular basis 0.862

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.879

AQ8 Adequate numbers of PhD holders in each department 0.882 AQ9 Faculty has good number of publications of research papers 0.881 AQ10 Institution holds an adequate number of patents 0.706

AQ12 Appraisal is given on the basis of past performance and future potential 0.879

AQ14 Seminar Grant (SG) is given to the faculty 0.615

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Factor Name Items Factor

Loadings

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.679

MQ6 Transparency in working of the institution 0.671 MQ7 Communication flow between management and faculty is easier 0.614

Factor 3

AQ11 Salary structure of the faculty is satisfactory and motivating 0.622 IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.625 MQ8 Leadership style exhibited by the Dean and Director is participative 0.546

Factor 4

SQ2 Selection process of faculty is fair and standardized 0.614 AQ4 Faculty is encouraged to participate in curriculum development 0.633

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.614

IQ5 Printers are in adequate number within the departments 0.784

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.581

Factor 5

IQ1 Communication cell for internal and external communication is well equipped 0.767

IQ2 Recreational facilities are satisfactory for the faculty 0.881 Interpretations: Looking at the above table, it can be seen that IQ4, IQ7, IQ8, IQ9, IQ10,

PDQ1, PDQ2, PDQ3, PDQ4, PDQ5, PDQ6, MQ1, MQ2, MQ4, MQ5, MQ9, MQ10 and

MQ11 are substantially loaded on Factor 1, SQ3, AQ6, AQ7, AQ8, AQ9, AQ10, AQ12,

AQ14, AQ15, MQ6 and MQ7 are substantially loaded on Factor 2, AQ11, IQ6 and MQ8

are substantially loaded on Factor 3, SQ2, AQ4, IQ3, IQ5 and MQ3 are substantially

loaded on Factor 4, while IQ1 and IQ2 are substantially loaded on Factor 5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

Factor – 1: The factor loadings ranged between 0.529 - 0.936. The aspects included

namely:

a) Faculty members are provided with sufficient necessary facilities for doing

academic work

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b) Library is well equipped

c) Faculty can visit the library with ease whenever they find time

d) Toilets for the faculty are hygienic and in adequate number

e) Parking facility for the faculty vehicle is spacious

f) Adequate Industry Institute Interaction for the faculty development

g) Activities are arranged for enhancement of soft and life skills of the faculty

h) Faculty has a conducive atmosphere for the development of the requisite

competencies

i) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

j) Faculty exchange programmes for giving exposure to the faculty

k) Proper guidance is provided to the faculty in the live projects

l) Institution has a well defined HR policy

m) A well defined Academic Policy is in place

n) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

o) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

p) Working relationships between the Head of Departments and their faculty

members are synchronized

q) Working relationships between the Dean and the faculty members are good

r) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 2: The factor loadings ranged between 0.613 - 0.882. The aspects included

namely:

a) Criteria followed for faculty recruitment is uniform

b) Faculty Development Programmes are organized on a regular basis

c) R & D support available is sufficient and well equipped for successful

innovation

d) Adequate numbers of PhD holders in each department

e) Faculty has good number of publications of research papers

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f) Institution holds an adequate number of patents

g) Appraisal is given on the basis of past performance and future potential

h) Seminar Grant (SG) is given to the faculty

i) Institute gives Teacher Research Fellowship (TRF) in optimum number

j) Transparency in working of the institution

k) Communication flow between management and faculty is easier

Factor – 3: The factor loadings ranged between 0.546 - 0.625. The aspects included

namely:

a) Salary structure of the faculty is satisfactory and motivating

b) A secured Wi-Fi facility is well channelized to provide easy access

c) Leadership style exhibited by the Dean and Director is participative

Factor – 4: The factor loadings ranged between 0.581 - 0.784. The aspects included

namely:

a) Selection process of faculty is fair and standardized

b) Faculty is encouraged to participate in curriculum development

c) Faculty / staff rooms are spacious, well furnished and adequate in number

d) Printers are in adequate number within the departments

e) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

Factor – 5: The factor loadings ranged between 0.767 - 0.881. The aspects included

namely:

a) Communication cell for internal and external communication is well equipped

b) Recreational facilities are satisfactory for the faculty

4.2.5 Institute “C” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

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ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.11: Showing the Rotated Component Matrix for 6 components for Institute “C” (students) Component 1 2 3 4 5 6 SQ1 .091 .530 .464 .219 .022 .220SQ2 .120 .571 .421 .211 -.093 -.127SQ3 .354 .464 .354 .167 .110 .015SQ5 .155 .480 .232 .208 -.011 -.343AQ3 .157 .436 .315 .130 .012 -.069AQ4 .323 .213 .586 .248 .031 .182AQ5 .380 .378 .403 .057 .172 .118AQ6 .255 .291 .706 .058 .151 -.024AQ7 .141 .278 .544 .271 .149 -.028AQ8 .219 .035 .614 .234 .377 .003AQ9 .300 .160 .390 .107 .309 .348AQ11 .286 .553 .268 .006 .164 .158AQ13 .300 .108 .327 .482 -.137 .099AQ14 .081 .106 .218 .663 .271 .004IQ2 .409 .200 .543 .236 .217 .334IQ3 .520 .244 .308 .278 .299 .211IQ4 .639 .218 .337 .187 .081 .133IQ5 .456 .227 .355 .111 .361 .282IQ6 .659 .109 .091 .276 .077 .118IQ7 .649 .104 .249 .149 .178 .069IQ8 .689 -.008 .129 .143 .325 -.026IQ9 .536 .418 .071 -.065 .331 -.365IQ10 .381 .174 .259 -.063 .670 -.159IQ11 .323 .155 .301 .259 .237 -.058IQ12 .470 .146 .568 .122 .204 .075

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Component 1 2 3 4 5 6IQ13 .712 .340 .145 .231 .060 .042IQ14 .808 .240 .113 .013 .010 .144IQ15 .603 .342 -.014 .056 .226 .120IQ17 .683 .099 .034 .133 .497 -.043IQ18 .721 .250 .167 .021 .054 .111IQ19 .526 .216 .358 .141 .297 -.055IQ20 .615 .166 .423 .088 .037 .146IQ22 .780 .202 .209 .029 .175 -.006IQ26 .717 .194 .311 .003 .100 .058IQ27 .449 .145 .518 .047 .172 .153IQ28 .698 .154 .379 .117 -.107 -.052IQ29 .677 .000 .336 .227 .102 -.309IQ30 .527 .251 .293 .069 .137 -.513IQ31 .446 .293 .511 -.107 .088 -.189PDQ1 .053 .547 .201 .587 .053 -.025PDQ2 -.025 .397 .380 .560 .193 .023PDQ3 .028 .387 .281 .386 .398 .070PDQ4 .317 .160 .247 .203 .588 .266PDQ5 .204 .257 .127 .212 .633 .195PDQ6 .296 .422 .250 .225 .035 .322PDQ7 .462 .386 .017 .342 .061 .148PDQ8 .502 .313 .020 .440 -.090 .126PDQ10 .464 .253 .059 .536 .254 -.066PDQ11 .213 .428 .047 .191 .386 .391PDQ12 .160 .379 .224 .356 .306 .282PDQ14 .396 .225 .297 .239 .187 .105PQ1 .327 .546 .014 .470 .034 -.015PQ2 .326 .508 -.144 .502 -.014 .007PQ3 .441 .605 -.122 .019 .245 -.068PQ5 .221 .449 .101 .502 .126 .144PQ6 -.036 .263 .223 .494 .482 -.164MQ1 .032 .729 .271 .172 .252 .058MQ2 .171 .575 .206 .303 .180 .159MQ3 .268 .584 .090 .092 .211 .146MQ4 .172 .703 .043 .255 .182 -.003MQ7 .241 .703 .237 .193 .028 .097MQ8 .197 .685 .232 .025 .156 -.034MQ9 .290 .166 .307 .007 .139 .600Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 16 iterations.

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Table 4.12: Showing the factor loadings for 6 factors for Institute “C” (students) Factor Name Items Factor

Loadings

Factor 1

IQ3 Facilities of sports are sufficient 0.52 IQ4 Communication laboratory is modernized and well equipped 0.639 IQ5 Class rooms are in sufficient number 0.456 IQ6 Library is well equipped 0.659 IQ7 Students can visit the library whenever they find time 0.649 IQ8 Reading and internet facilities are available in the hostel 0.689 IQ9 Mess food is hygienic and homely 0.536 IQ11 Boys & girls common rooms are in adequate number 0.323 IQ12 Stationary store and reprography facility in centralized location 0.47 IQ13 First aid cum sick room with required facilities 0.712

IQ14 Auditorium / Amphitheater is well equipped 0.808 IQ15 A secured Wi-Fi facility for the students 0.603

IQ17 Potable water supply and outlets for drinking water at strategic locations 0.683

IQ18 Back up electric supply is available when required 0.721 IQ19 Facility for sewage disposal is sufficient and appropriate 0.526 IQ20 Parking facility for the students’ vehicle is spacious 0.615 IQ22 Adequate safety provisions for calamities 0.78

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.717

IQ28 Post, Banking Facility / ATM is located in a centralized location 0.698 IQ29 CCTV Security System covers vital areas of the institute 0.677

IQ30 LCD projectors equipped classrooms are adequate in number 0.527

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.462

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.502

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.396

Factor 2

SQ1 Uniform criteria followed at the time of giving admission 0.53 SQ2 Entrance examination helps in the selection process 0.571 SQ3 The students admitted have required basic knowledge 0.464 SQ5 Fee structure helps in the selection process 0.48 AQ3 Students come prepared for classes 0.436 AQ11 Presence of guidance, counseling and mentoring activities 0.553

PDQ6 Good hands - on skills are imparted during the workshop practices 0.422

PDQ11 Student exchange programmes are beneficial 0.428

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Factor Name Items Factor

Loadings

PDQ12 Proper guidance is provided in the live projects for research 0.379

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.546

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.508

PQ3 Project work and summer training is attached due importance 0.605

MQ1 A well defined Academic Policy is in place 0.729

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.575

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.584

MQ4 Transparency in working of the institution 0.703 MQ7 Student grievances’ are timely addressed by the authority 0.703 MQ8 Efficient Grievance Redressal Committee 0.685

Factor 3

AQ4 Teachers are committed, sincere and dedicated 0.586 AQ5 Faculty is qualified and competent 0.403 AQ6 Effective teaching-learning process 0.706 AQ7 Students’ doubts are cleared through tutorials 0.544 AQ8 Flexible teaching methods 0.614 AQ9 Faculty is easily available to students 0.39 AQ13 Question papers follow a fixed structure 0.482 AQ14 Fair & transparent evaluation system 0.663 IQ2 Laboratories are well equipped 0.543 IQ27 Transport facility from remote areas 0.518 IQ31 Recreational facilities are satisfactory for the students 0.511

Factor 4

PDQ1 Enough opportunities for Industry Institute Interaction 0.587

PDQ2 Entrepreneurship cell conduct sufficient activities 0.56

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.536

PQ5 A good number of recruiters visit the campus 0.502 PQ6 Reputed companies visit the campus for the recruitment 0.494

Factor 5

IQ10 Toilets for the students are in adequate number 0.67 PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.398 PDQ4 Sufficient clubs and societies providing developmental activities 0.588 PDQ5 Adequate activities for enhancement of soft and life skills 0.633

Factor 6 MQ9 Institute focuses on the prevention and prohibition of ragging 0.6

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Interpretations: Looking at the above table, it can be seen that IQ3, IQ4, IQ5, IQ6, IQ7,

IQ8, IQ9, IQ11, IQ12, IQ13, IQ14, IQ15, IQ17, IQ18, IQ19, IQ20, IQ22, IQ26, IQ28,

IQ29, IQ30, PDQ7, PDQ8 and PDQ14 are substantially loaded on Factor 1, SQ1, SQ2,

SQ3, SQ5, AQ3, AQ11, PDQ6, PDQ11, PDQ12, PQ1, PQ2, PQ3, MQ1, MQ2, MQ3,

MQ4, MQ7 and MQ8 are substantially loaded on Factor 2, AQ4, AQ5, AQ6, AQ7, AQ8,

AQ9, AQ13, AQ14, IQ2, IQ27 and IQ31 are substantially loaded on Factor 3, PDQ1,

PDQ2, PDQ10, PQ5 and PQ6 are substantially loaded on Factor 4, IQ10, PDQ3, PDQ4

and PDQ5 are substantially loaded on Factor 5, while MQ9 is substantially loaded on

Factor 6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.323 - 0.808. The aspects included

namely:

a) Facilities of sports are sufficient

b) Communication laboratory is modernized and well equipped

c) Class rooms are in sufficient number

d) Library is well equipped

e) Students can visit the library whenever they find time

f) Reading and internet facilities are available in the hostel

g) Mess food is hygienic and homely

h) Boys & girls common rooms are in adequate number

i) Stationary store and reprography facility in centralized location

j) First aid cum sick room with required facilities

k) Auditorium / Amphitheater is well equipped

l) A secured Wi-Fi facility for the students

m) Potable water supply and outlets for drinking water at strategic locations

n) Back up electric supply is available when required

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o) Facility for sewage disposal is sufficient and appropriate

p) Parking facility for the students’ vehicle is spacious

q) Adequate safety provisions for calamities

r) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

s) Post, Banking Facility / ATM is located in a centralized location

t) CCTV Security System covers vital areas of the institute

u) LCD projectors equipped classrooms are adequate in number

v) Students are encouraged to participate in co-curricular & extra-curricular

activities

w) Atmosphere is conducive for the development of the requisite competencies

x) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

Factor – 2: The factor loadings ranged between 0.379 - 0.729. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) Entrance examination helps in the selection process

c) The students admitted have required basic knowledge

d) Fee structure helps in the selection process

e) Students come prepared for classes

f) Presence of guidance, counseling and mentoring activities

g) Good hands - on skills are imparted during the workshop practices

h) Student exchange programmes are beneficial

i) Proper guidance is provided in the live projects for research

j) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

k) Student service centre exists to provide efficient academic, financial,

administrative services

l) Project work and summer training is attached due importance

m) A well defined Academic Policy is in place

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n) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

o) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

p) Transparency in working of the institution

q) Student grievances’ are timely addressed by the authority

r) Efficient Grievance Redressal Committee

Factor – 3: The factor loadings ranged between 0.39 - 0.706. The aspects included

namely:

a) Teachers are committed, sincere and dedicated

b) Faculty is qualified and competent

c) Effective teaching-learning process

d) Students’ doubts are cleared through tutorials

e) Flexible teaching methods

f) Faculty is easily available to students

g) Question papers follow a fixed structure

h) Fair & transparent evaluation system

i) Laboratories are well equipped

j) Transport facility from remote areas

k) Recreational facilities are satisfactory for the students

Factor – 4: The factor loadings ranged between 0.494 - 0.56. The aspects included

namely:

a) Enough opportunities for Industry Institute Interaction

b) Entrepreneurship cell conduct sufficient activities

c) Eminent professors, senior industry executives are invited for guest lectures

d) A good number of recruiters visit the campus

e) Reputed companies visit the campus for the recruitment

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Factor – 5: The factor loadings ranged between 0.398 - 0.67. The aspects included

namely:

a) Toilets for the students are in adequate number

b) Industry Institute Partnership Cell (IIPC) is active and efficient

c) Sufficient clubs and societies providing developmental activities

d) Adequate activities for enhancement of soft and life skills

Factor – 6: The factor loading is 0.6. The aspect included namely:

a) Institute focuses on the prevention and prohibition of ragging

4.2.6 Institute “C” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.13: Showing the Rotated Component Matrix for 5 components for Institute “C” (faculty members) Component 1 2 3 4 5SQ2 .191 .861 -.018 .123 .220SQ3 .525 .510 -.253 .082 .173AQ4 .178 .804 .083 .268 .110AQ6 .433 .466 .285 .440 .174AQ7 .407 .345 .295 .575 .262AQ8 .712 .323 .098 .379 .108AQ9 .467 .405 .250 .489 .350AQ10 .404 .375 .543 .464 .049AQ11 .560 .117 .675 .217 .141AQ12 .286 .414 .658 .253 .175AQ14 .815 .106 .268 .102 .120AQ15 .834 .031 .230 .260 -.139IQ1 .193 .366 .304 .737 -.038IQ2 .095 .356 .400 .796 .019IQ3 .110 .161 .089 .870 .078IQ4 .309 .038 -.103 .677 .445IQ5 .520 .314 .476 .414 .139IQ6 .549 .017 .567 .363 .217IQ7 .368 .166 .685 .274 .316IQ8 .422 .022 .683 .023 .276IQ9 .729 .156 .241 -.018 .344IQ10 .247 .224 .455 .323 .376PDQ1 .198 .630 .250 .355 .185PDQ2 .355 .307 .219 .161 .322PDQ3 .144 .578 .240 .401 .072PDQ4 .599 .508 .229 .275 -.016PDQ5 .618 .483 .353 .180 .148PDQ6 .695 .466 .283 .170 .234MQ1 .390 .520 .413 .212 .368MQ2 .426 .194 .433 .206 .572MQ3 .096 .207 .747 .181 .374MQ4 -.121 .159 .296 -.071 .704MQ5 .054 .190 .107 .165 .843MQ6 .154 .114 .258 .241 .792MQ7 .415 .208 .108 -.023 .677MQ8 .181 .494 .521 .076 .328MQ9 .119 .650 .542 .170 .160MQ10 .080 .585 .455 .197 .354MQ11 .125 .544 .326 .042 .469Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 14 iterations.

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Table 4.14: Showing the factor loadings for 5 factors for Institute “C” (faculty members) Factor Name Items Factor

Loadings

Factor 1

SQ3 Criteria followed for faculty recruitment is uniform 0.525 AQ8 Adequate numbers of PhD holders in each department 0.712 AQ14 Seminar Grant (SG) is given to the faculty 0.815

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.834

IQ5 Printers are in adequate number within the departments 0.52 IQ9 Toilets for the faculty are hygienic and in adequate number 0.729

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.355

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.599

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.618 PDQ6 Proper guidance is provided to the faculty in the live projects 0.695

Factor 2

SQ2 Selection process of faculty is fair and standardized 0.861

AQ4 Faculty is encouraged to participate in curriculum development 0.804

AQ6 Faculty Development Programmes are organized on a regular basis 0.466

PDQ1 Adequate Industry Institute Interaction for the faculty development 0.63

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.578

MQ1 Institution has a well defined HR policy 0.52

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.65

MQ10 Working relationships between the Dean and the faculty members are good 0.585

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.544

Factor 3

AQ10 Institution holds an adequate number of patents 0.543 AQ11 Salary structure of the faculty is satisfactory and motivating 0.675

AQ12 Appraisal is given on the basis of past performance and future potential 0.658

IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.567

IQ7 Library is well equipped 0.685 IQ8 Faculty can visit the library with ease whenever they find time 0.683 IQ10 Parking facility for the faculty vehicle is spacious 0.455

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.747

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Factor Name Items Factor

Loadings

MQ8 Leadership style exhibited by the Dean and Director is participative 0.521

Factor 4

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.575

AQ9 Faculty has good number of publications of research papers 0.489

IQ1 Communication cell for internal and external communication is well equipped 0.737

IQ2 Recreational facilities are satisfactory for the faculty 0.796

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.87

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.677

Factor 5

MQ2 A well defined Academic Policy is in place 0.572

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.704

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.843

MQ6 Transparency in working of the institution 0.792 MQ7 Communication flow between management and faculty is easier 0.677

Interpretations: Looking at the above table, it can be seen that SQ3, AQ8, AQ14, AQ15,

IQ5, IQ9, PDQ2, PDQ4, PDQ5 and PDQ6 are substantially loaded on Factor 1, SQ2,

AQ4, AQ6, PDQ1, PDQ3, MQ1, MQ9, MQ10 and MQ11 are substantially loaded on

Factor 2, AQ10, AQ11, AQ12, IQ6, IQ7, IQ8, IQ10, MQ3 and MQ8 are substantially

loaded on Factor 3, AQ7, AQ9, IQ1, IQ2, IQ3 and IQ4 are substantially loaded on Factor

4, while MQ2, MQ4, MQ5, MQ6 and MQ7 are substantially loaded on Factor 5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

Factor – 1: The factor loadings ranged between 0.355 - 0.834. The aspects included

namely:

a) Criteria followed for faculty recruitment is uniform

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b) Adequate numbers of PhD holders in each department

c) Seminar Grant (SG) is given to the faculty

d) Institute gives Teacher Research Fellowship (TRF) in optimum number

e) Printers are in adequate number within the departments

f) Toilets for the faculty are hygienic and in adequate number

g) Activities are arranged for enhancement of soft and life skills of the faculty

h) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

i) Faculty exchange programmes for giving exposure to the faculty

j) Proper guidance is provided to the faculty in the live projects

Factor – 2: The factor loadings ranged between 0.466 - 0.861. The aspects included

namely:

a) Selection process of faculty is fair and standardized

b) Faculty is encouraged to participate in curriculum development

c) Faculty Development Programmes are organized on a regular basis

d) Adequate Industry Institute Interaction for the faculty development

e) Faculty has a conducive atmosphere for the development of the requisite

competencies

f) Institution has a well defined HR policy

g) Working relationships between the Head of Departments and their faculty

members are synchronized

h) Working relationships between the Dean and the faculty members are good

i) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 3: The factor loadings ranged between 0.455 - 0.747. The aspects included

namely:

a) Institution holds an adequate number of patents

b) Salary structure of the faculty is satisfactory and motivating

c) Appraisal is given on the basis of past performance and future potential

d) A secured Wi-Fi facility is well channelized to provide easy access

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e) Library is well equipped

f) Faculty can visit the library with ease whenever they find time

g) Parking facility for the faculty vehicle is spacious

h) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

i) Leadership style exhibited by the Dean and Director is participative

Factor – 4: The factor loadings ranged between 0.489 - 0.87. The aspects included

namely:

a) R & D support available is sufficient and well equipped for successful

innovation

b) Faculty has good number of publications of research papers

c) Communication cell for internal and external communication is well equipped

d) Recreational facilities are satisfactory for the faculty

e) Faculty / staff rooms are spacious, well furnished and adequate in number

f) Faculty members are provided with sufficient necessary facilities for doing

academic work

Factor – 5: The factor loadings ranged between 0.572 - 0.843. The aspects included

namely:

a) A well defined Academic Policy is in place

b) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

c) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

d) Transparency in working of the institution

e) Communication flow between management and faculty is easier

4.2.7 Institute “D” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

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ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.15: Showing the Rotated Component Matrix for 6 components for Institute “D” (students) Component 1 2 3 4 5 6 SQ1 .084 .172 .350 .154 -.099 .024SQ2 -.188 .481 .111 .267 -.063 .065SQ3 .015 .329 .042 .400 .160 .074SQ5 .110 .013 -.145 -.180 .343 .194AQ3 .412 .083 .161 .129 .373 -.267AQ4 .078 .109 .035 .665 .365 -.086AQ5 .148 .444 -.113 .126 .092 .142AQ6 .379 .281 -.344 .120 .125 .209AQ7 .003 -.054 .052 .003 .089 .620AQ8 -.091 .176 .143 .006 .405 -.043AQ9 .177 .307 .196 .289 .153 .044AQ11 .330 .462 .044 .110 .235 -.150AQ13 .235 .485 .232 -.063 .214 .172AQ14 .142 .283 -.106 .150 .179 .403IQ2 .065 .086 .082 .364 .233 .230IQ3 -.019 .027 -.073 .221 .571 -.085IQ4 -.126 .186 .058 .359 .319 .005IQ5 .026 .234 -.059 .248 .436 .167IQ6 -.095 .585 .103 .101 .212 .143IQ7 .138 .634 .138 -.019 .111 .112IQ8 .074 .214 .065 .471 .091 .377IQ9 .221 .276 .143 .073 .516 .094IQ10 .019 .055 .288 .214 .376 .320IQ11 .329 .426 .071 .165 .292 -.289IQ12 .230 .391 -.043 .223 .272 -.050

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Component 1 2 3 4 5 6 IQ13 .330 .035 -.009 .272 .318 .151IQ14 .100 .486 -.064 .178 .165 .354IQ15 .082 .203 .052 .149 .516 .215IQ17 .215 -.034 -.246 .231 .459 .203IQ18 .046 .165 .241 -.067 .399 .214IQ19 .100 .310 .132 .020 .103 .504IQ20 .131 .396 .142 .488 .043 -.117IQ22 .446 .416 .107 -.069 -.103 .191IQ26 .631 .124 .079 .014 .027 .220IQ27 .239 -.057 .180 .222 .127 .443IQ28 .352 .011 .277 .012 .492 .066IQ29 .247 .033 .296 .067 .003 .427IQ30 .233 .371 .240 .393 -.048 -.159IQ31 .475 -.118 .321 .121 -.046 .120PDQ1 .138 .048 .736 -.085 .081 .130PDQ2 .321 .202 .589 -.033 -.011 .029PDQ3 .214 .063 .401 .001 .393 .254PDQ4 .482 .186 .378 .085 .035 .000PDQ5 .360 -.135 .258 .219 .202 .260PDQ6 .541 .018 .085 .290 -.049 .306PDQ7 .321 .036 .066 .385 .207 .194PDQ8 .649 .136 .014 .196 .129 .114PDQ10 .276 -.014 .074 .649 -.179 .216PDQ11 .177 .273 .289 .227 -.049 .042PDQ12 .236 .145 .119 .480 -.016 .019PDQ14 .010 -.174 .378 .361 .224 .002PQ1 .000 .034 .782 .249 .081 .105PQ2 .044 .276 .666 .247 .209 .048PQ3 .303 .112 .393 .531 .076 .054PQ5 .600 .190 .155 .199 .223 .128PQ6 .033 .333 .368 .013 .093 .458MQ1 .117 -.051 .535 .200 .139 .209MQ2 .558 .307 .063 .128 .142 .002MQ3 .402 .152 .263 -.165 .400 -.033MQ4 .220 .417 .115 .128 .331 -.008MQ7 .127 .337 .102 .101 .304 .285MQ8 .047 .153 .064 .446 .372 .256MQ9 .270 .279 .111 .076 -.005 .541Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 17 iterations.

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Table 4.16: Showing the factor loadings for 6 factors for Institute “D” (students) Factor Name Items Factor

Loadings

Factor 1

AQ3 Students come prepared for classes 0.412 AQ6 Effective teaching-learning process 0.379 IQ13 First aid cum sick room with required facilities 0.33 IQ22 Adequate safety provisions for calamities 0.446

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.631

IQ31 Recreational facilities are satisfactory for the students 0.475 PDQ4 Sufficient clubs and societies providing developmental activities 0.482 PDQ5 Adequate activities for enhancement of soft and life skills 0.36

PDQ6 Good hands - on skills are imparted during the workshop practices 0.541

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.649

PQ5 A good number of recruiters visit the campus 0.6

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.402

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.417

Factor 2

SQ2 Entrance examination helps in the selection process 0.481 AQ5 Faculty is qualified and competent 0.444 AQ9 Faculty is easily available to students 0.307 AQ11 Presence of guidance, counseling and mentoring activities 0.462 AQ13 Question papers follow a fixed structure 0.485 IQ6 Library is well equipped 0.585 IQ7 Students can visit the library whenever they find time 0.634 IQ11 Boys & girls common rooms are in adequate number 0.426 IQ12 Stationary store and reprography facility in centralized location 0.391 IQ14 Auditorium / Amphitheater is well equipped 0.486 MQ4 Transparency in working of the institution 0.337 MQ7 Student grievances’ are timely addressed by the authority 0.446

Factor 3

SQ1 Uniform criteria followed at the time of giving admission 0.35

PDQ1 Enough opportunities for Industry Institute Interaction 0.736

PDQ2 Entrepreneurship cell conduct sufficient activities 0.589 PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.401 PDQ11 Student exchange programmes are beneficial 0.289

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.378

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Factor Name Items Factor

Loadings

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.782

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.666

MQ1 A well defined Academic Policy is in place 0.558

Factor 4

SQ3 The students admitted have required basic knowledge 0.4 AQ4 Teachers are committed, sincere and dedicated 0.665 IQ2 Laboratories are well equipped 0.364 IQ4 Communication laboratory is modernized and well equipped 0.359 IQ8 Reading and internet facilities are available in the hostel 0.471 IQ20 Parking facility for the students’ vehicle is spacious 0.488 IQ30 LCD projectors equipped classrooms are adequate in number 0.393

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.385

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.649

PDQ12 Proper guidance is provided in the live projects for research 0.48 PQ3 Project work and summer training is attached due importance 0.531 MQ8 Efficient Grievance Redressal Committee 0.541

Factor 5

SQ5 Fee structure helps in the selection process 0.343 AQ8 Flexible teaching methods 0.405 IQ3 Facilities of sports are sufficient 0.571 IQ5 Class rooms are in sufficient number 0.436 IQ9 Mess food is hygienic and homely 0.516 IQ10 Toilets for the students are in adequate number 0.376 IQ15 A secured Wi-Fi facility for the students 0.516

IQ17 Potable water supply and outlets for drinking water at strategic locations 0.459

IQ18 Back up electric supply is available when required 0.399 IQ28 Post, Banking Facility / ATM is located in a centralized location 0.492

Factor 6

AQ7 Students’ doubts are cleared through tutorials 0.62 AQ14 Fair & transparent evaluation system 0.403 IQ19 Facility for sewage disposal is sufficient and appropriate 0.504 IQ27 Transport facility from remote areas 0.443 IQ29 CCTV Security System covers vital areas of the institute 0.427 PQ6 Reputed companies visit the campus for the recruitment 0.458 MQ9 Institute focuses on the prevention and prohibition of ragging 0.535

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Interpretations: Looking at the above table, it can be seen that AQ3, AQ6, IQ13, IQ22,

IQ26, IQ31, PDQ4, PDQ5, PDQ6, PDQ8, PQ5, MQ2 and MQ3 are substantially loaded

on Factor 1, SQ2, AQ5, AQ9, AQ11, AQ13, IQ6, IQ7, IQ11, IQ12, IQ14, MQ4 and

MQ7 are substantially loaded on Factor 2, SQ1, PDQ1, PDQ2, PDQ3, PDQ11, PDQ14,

PQ1, PQ2 and MQ1 are substantially loaded on Factor 3, SQ3, AQ4, IQ2, IQ4, IQ8,

IQ20, IQ30, PDQ7, PDQ10, PDQ12, PQ3 and MQ8 are substantially loaded on Factor 4,

SQ5, AQ8, IQ3, IQ5, IQ9, IQ10, IQ15, IQ17, IQ18 and IQ28 are substantially loaded on

Factor 5, while AQ7, AQ14, IQ19, IQ27, IQ29, PQ6 and MQ9 are substantially loaded

on Factor 6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.33 - 0.649. The aspects included

namely:

a) Students come prepared for classes

b) Effective teaching-learning process

c) First aid cum sick room with required facilities

d) Adequate safety provisions for calamities

e) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

f) Recreational facilities are satisfactory for the students

g) Sufficient clubs and societies providing developmental activities

h) Adequate activities for enhancement of soft and life skills

i) Good hands - on skills are imparted during the workshop practices

j) Atmosphere is conducive for the development of the requisite competencies

k) A good number of recruiters visit the campus

l) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

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m) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

Factor – 2: The factor loadings ranged between 0.307 - 0.634. The aspects included

namely:

a) Entrance examination helps in the selection process

b) Faculty is qualified and competent

c) Faculty is easily available to students

d) Presence of guidance, counseling and mentoring activities

e) Question papers follow a fixed structure

f) Library is well equipped

g) Students can visit the library whenever they find time

h) Boys & girls common rooms are in adequate number

i) Stationary store and reprography facility in centralized location

j) Auditorium / Amphitheater is well equipped

k) Transparency in working of the institution

l) Student grievances’ are timely addressed by the authority

Factor – 3: The factor loadings ranged between 0.289 - 0.782. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) Enough opportunities for Industry Institute Interaction

c) Entrepreneurship cell conduct sufficient activities

d) Industry Institute Partnership Cell (IIPC) is active and efficient

e) Student exchange programmes are beneficial

f) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

g) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

h) Student service centre exists to provide efficient academic, financial,

administrative services

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i) A well defined Academic Policy is in place

Factor – 4: The factor loadings ranged between 0.359 - 0.665. The aspects included

namely:

a) The students admitted have required basic knowledge

b) Teachers are committed, sincere and dedicated

c) Laboratories are well equipped

d) Communication laboratory is modernized and well equipped

e) Reading and internet facilities are available in the hostel

f) Parking facility for the students’ vehicle is spacious

g) LCD projectors equipped classrooms are adequate in number

h) Students are encouraged to participate in co-curricular & extra-curricular

activities

i) Eminent professors, senior industry executives are invited for guest lectures

j) Proper guidance is provided in the live projects for research

k) Project work and summer training is attached due importance

l) Efficient Grievance Redressal Committee

Factor – 5: The factor loadings ranged between 0.343 - 0.571. The aspects included

namely:

a) Fee structure helps in the selection process

b) Flexible teaching methods

c) Facilities of sports are sufficient

d) Class rooms are in sufficient number

e) Mess food is hygienic and homely

f) Toilets for the students are in adequate number

g) A secured Wi-Fi facility for the students

h) Potable water supply and outlets for drinking water at strategic locations

i) Back up electric supply is available when required

j) Post, Banking Facility / ATM is located in a centralized location

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Factor – 6: The factor loadings ranged between 0.403 - 0.62. The aspects included

namely:

a) Students’ doubts are cleared through tutorials

b) Fair & transparent evaluation system

c) Facility for sewage disposal is sufficient and appropriate

d) Transport facility from remote areas

e) CCTV Security System covers vital areas of the institute

f) Reputed companies visit the campus for the recruitment

g) Institute focuses on the prevention and prohibition of ragging

4.2.8 Institute “D” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.17: Showing the Rotated Component Matrix for 5 components for Institute “D” (faculty members) Component 1 2 3 4 5SQ2 .424 -.043 .270 .318 -.126SQ3 .070 -.008 .171 .204 -.474AQ4 .565 .162 -.027 -.258 .156AQ6 .674 .219 .136 .172 -.171AQ7 .639 .388 -.221 .245 .138AQ8 .694 .162 -.058 -.009 .082AQ9 .347 .389 .297 -.059 .177AQ10 .510 .145 .301 .207 .392AQ11 .127 .441 .024 .217 -.382AQ12 .013 .116 .097 .239 .463AQ14 .464 -.120 -.114 .032 .463AQ15 .100 .653 -.122 .063 .529IQ1 .033 .344 -.006 -.160 -.359IQ2 .601 .282 .047 -.238 -.323IQ3 .119 .228 .483 .108 -.384IQ4 .805 -.009 .008 .274 -.133IQ5 .359 .532 .205 .113 -.169IQ6 .153 .156 -.649 -.266 -.080IQ7 .117 .699 .177 .121 .004IQ8 .509 -.146 .227 .346 -.064IQ9 -.026 .635 .018 -.079 .031IQ10 .319 .117 .002 .735 -.143PDQ1 .101 -.093 .030 .007 -.538PDQ2 -.265 -.168 .468 -.435 -.173PDQ3 -.036 .636 .036 .168 .112PDQ4 .400 .369 -.349 -.072 .151PDQ5 .561 -.044 .141 .149 .576PDQ6 -.023 .236 .153 .670 .334MQ1 .538 -.132 .466 .109 .354MQ2 .359 .046 .656 -.085 -.190MQ3 .266 .228 .533 -.382 .081MQ4 .031 .243 .843 .028 .007MQ5 .123 -.021 .354 .389 .387MQ6 .706 -.036 -.214 .393 .087MQ7 -.108 .545 -.017 .380 -.167MQ8 -.186 .229 .432 .427 .195MQ9 .560 -.490 .392 -.025 -.133MQ10 .679 -.198 .201 -.007 -.209MQ11 .239 .131 -.028 .843 .035Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 19 iterations.

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Table 4.18: Showing the factor loadings for 5 factors for Institute “D” (faculty members) Factor Name Items Factor

Loadings

Factor 1

SQ2 Selection process of faculty is fair and standardized 0.424 AQ4 Faculty is encouraged to participate in curriculum development 0.565

AQ6 Faculty Development Programmes are organized on a regular basis 0.674

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.639

AQ8 Adequate numbers of PhD holders in each department 0.694

AQ14 Seminar Grant (SG) is given to the faculty 0.464

IQ2 Recreational facilities are satisfactory for the faculty 0.601

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.805

AQ10 Institution holds an adequate number of patents 0.51 IQ8 Faculty can visit the library with ease whenever they find time 0.509

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.4

MQ1 Institution has a well defined HR policy 0.538 MQ6 Transparency in working of the institution 0.706

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.56

MQ10 Working relationships between the Dean and the faculty members are good 0.679

Factor 2

AQ9 Faculty has good number of publications of research papers 0.389 AQ11 Salary structure of the faculty is satisfactory and motivating 0.441

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.653

IQ5 Printers are in adequate number within the departments 0.532 IQ7 Library is well equipped 0.699 IQ9 Toilets for the faculty are hygienic and in adequate number 0.635

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.636

MQ7 Communication flow between management and faculty is easier 0.545

Factor 3

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.483

IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.649

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.468

MQ2 A well defined Academic Policy is in place 0.656

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Factor Name Items Factor

Loadings

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.533

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.843

MQ8 Leadership style exhibited by the Dean and Director is participative 0.432

Factor 4

IQ10 Parking facility for the faculty vehicle is spacious 0.735 PDQ6 Proper guidance is provided to the faculty in the live projects 0.67

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.389

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.843

Factor 5

SQ3 Criteria followed for faculty recruitment is uniform 0.474

AQ12 Appraisal is given on the basis of past performance and future potential 0.463

IQ1 Communication cell for internal and external communication is well equipped 0.359

PDQ1 Adequate Industry Institute Interaction for the faculty development 0.538

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.576 Interpretations: Looking at the above table, it can be seen that SQ2, AQ4, AQ6, AQ7,

AQ8, AQ14, IQ2, IQ4, AQ10, IQ8, PDQ4, MQ1, MQ6, MQ9 and MQ10 are

substantially loaded on Factor 1, AQ9, AQ11, AQ15, IQ5, IQ7, IQ9, PDQ3 and MQ7 are

substantially loaded on Factor 2, IQ3, IQ6, PDQ2, MQ2, MQ3, MQ4 and MQ8 are

substantially loaded on Factor 3, IQ10, PDQ6, MQ5 and MQ11 are substantially loaded

on Factor 4, while SQ3, AQ12, IQ1, PDQ1 and PDQ5, are substantially loaded on Factor

5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

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Factor – 1: The factor loadings ranged between 0.4 - 0.805. The aspects included namely:

a) Selection process of faculty is fair and standardized

b) Faculty is encouraged to participate in curriculum development

c) Faculty Development Programmes are organized on a regular basis

d) R & D support available is sufficient and well equipped for successful

innovation

e) Adequate numbers of PhD holders in each department

f) Seminar Grant (SG) is given to the faculty

g) Recreational facilities are satisfactory for the faculty

h) Faculty members are provided with sufficient necessary facilities for doing

academic work

i) Institution holds an adequate number of patents

j) Faculty can visit the library with ease whenever they find time

k) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

l) Institution has a well defined HR policy

m) Transparency in working of the institution

n) Working relationships between the Head of Departments and their faculty

members are synchronized

o) Working relationships between the Dean and the faculty members are good

Factor – 2: The factor loadings ranged between 0.389 - 0.699. The aspects included

namely:

a) Faculty has good number of publications of research papers

b) Salary structure of the faculty is satisfactory and motivating

c) Institute gives Teacher Research Fellowship (TRF) in optimum number

d) Printers are in adequate number within the departments

e) Library is well equipped

f) Toilets for the faculty are hygienic and in adequate number

g) Faculty has a conducive atmosphere for the development of the requisite

competencies

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h) Communication flow between management and faculty is easier

Factor – 3: The factor loadings ranged between 0.432 - 0.843. The aspects included

namely:

a) Faculty / staff rooms are spacious, well furnished and adequate in number

b) A secured Wi-Fi facility is well channelized to provide easy access

c) Activities are arranged for enhancement of soft and life skills of the faculty

d) A well defined Academic Policy is in place

e) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

f) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

g) Leadership style exhibited by the Dean and Director is participative

Factor – 4: The factor loadings ranged between 0.389 - 0.843. The aspects included

namely:

a) Parking facility for the faculty vehicle is spacious

b) Proper guidance is provided to the faculty in the live projects

c) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

d) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 5: The factor loadings ranged between 0.359 - 0.576. The aspects included

namely:

a) Criteria followed for faculty recruitment is uniform

b) Appraisal is given on the basis of past performance and future potential

c) Communication cell for internal and external communication is well equipped

d) Adequate Industry Institute Interaction for the faculty development

e) Faculty exchange programmes for giving exposure to the faculty

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4.2.9 Institute “E” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.19: Showing the Rotated Component Matrix for 6 components for Institute “E” (students) Component 1 2 3 4 5 6SQ1 .180 -.025 .137 .097 .685 -.009SQ2 .184 -.065 .309 .335 .147 .198SQ3 .162 .075 .065 .562 -.005 -.046SQ5 -.074 .397 .137 .004 -.049 -.024AQ3 .526 .256 .135 .325 -.189 .109AQ4 .656 .110 .104 .371 .111 .288AQ5 .711 .174 -.042 .072 -.014 .210AQ6 .610 .060 .282 .406 .011 .060AQ7 .511 .170 .126 .430 .207 .285AQ8 .561 .180 .053 .274 .031 -.221AQ9 .441 .289 .246 .158 .179 .034AQ11 .636 .340 .123 .063 .008 .004AQ13 -.122 .214 -.041 .242 .524 .069AQ14 .430 .125 .225 -.077 .213 -.233IQ2 .479 .433 .087 -.065 -.197 -.302IQ3 .584 .433 .274 .141 .093 .011IQ4 .493 .487 .115 .144 .136 -.244IQ5 .068 .121 .413 .208 .213 -.145IQ6 .396 .095 .275 -.057 -.060 -.283IQ7 .247 .576 .188 .171 .017 -.004IQ8 .184 .678 .220 -.143 .171 .020

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Component 1 2 3 4 5 6IQ9 .281 .741 .075 -.115 .129 -.126IQ10 .324 .507 -.039 .297 .142 -.029IQ11 .329 .552 -.033 .257 .222 .125IQ12 .028 .315 .370 .402 -.085 -.251IQ13 -.016 .312 .465 .485 -.007 -.224IQ14 .269 .678 .088 .098 .004 -.132IQ15 .187 .778 .203 .077 .136 -.005IQ17 .217 .712 .184 .154 .110 -.058IQ18 -.024 .296 .295 .349 .168 .029IQ19 .248 .479 .193 .096 .185 -.137IQ20 .193 -.018 .338 -.016 .066 -.073IQ22 .143 .533 .052 .377 .129 .013IQ26 .326 .534 .305 .215 .032 .049IQ27 .279 .595 .007 .337 .039 .145IQ28 -.081 .401 .078 .085 .447 .100IQ29 .098 .337 -.110 .529 .228 .027IQ30 .457 .350 .276 .115 -.215 .057IQ31 .327 .660 .239 .095 .185 .011PDQ1 .519 .165 .229 .125 .452 -.117PDQ2 .584 .076 .272 .075 .316 -.109PDQ3 .515 .343 .277 .140 .188 -.219PDQ4 .189 .139 .599 .054 -.076 -.045PDQ5 .313 .187 .551 .401 .135 -.061PDQ6 .275 .159 .379 -.323 .166 -.153PDQ7 .443 .103 .446 .161 .237 .181PDQ8 .486 .049 .388 .255 .196 -.262PDQ10 .458 .161 .368 .394 -.067 -.167PDQ11 .441 .283 .064 -.054 .054 -.020PDQ12 .420 .334 .489 .104 .214 -.020PDQ14 .238 .485 .161 .268 .328 .093PQ1 .597 .280 .183 -.057 .307 -.080PQ2 .521 .292 .334 .394 .155 -.047PQ3 .614 .242 .156 -.127 .281 .005PQ5 .265 .184 .320 -.118 .712 -.056PQ6 .356 .210 .286 -.078 .624 -.056MQ1 .234 .230 .638 .218 .119 -.175MQ2 -.018 .139 .688 .009 .252 .087MQ3 .111 .142 .797 -.024 .107 .073MQ4 .189 .343 .606 -.024 .047 .111MQ7 -.008 -.011 -.030 -.019 -.011 .906MQ8 .409 .362 .443 .265 -.047 -.070MQ9 -.008 -.011 -.030 -.019 -.011 .906Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 15 iterations.

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Table 4.20: Showing the factor loadings for 6 factors for Institute “E” (students) Factor Name Items Factor

Loadings

Factor 1

AQ3 Students come prepared for classes 0.526 AQ4 Teachers are committed, sincere and dedicated 0.656 AQ5 Faculty is qualified and competent 0.711 AQ6 Effective teaching-learning process 0.61 AQ7 Students’ doubts are cleared through tutorials 0.511 AQ8 Flexible teaching methods 0.561 AQ9 Faculty is easily available to students 0.441 AQ11 Presence of guidance, counseling and mentoring activities 0.636 AQ14 Fair & transparent evaluation system 0.43 IQ2 Laboratories are well equipped 0.479 IQ3 Facilities of sports are sufficient 0.584 IQ4 Communication laboratory is modernized and well equipped 0.493 IQ6 Library is well equipped 0.396 IQ30 LCD projectors equipped classrooms are adequate in number 0.457

PDQ1 Enough opportunities for Industry Institute Interaction 0.519

PDQ2 Entrepreneurship cell conduct sufficient activities 0.584 PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.515

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.486

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.458

PDQ11 Student exchange programmes are beneficial 0.441

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.597

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.521

PQ3 Project work and summer training is attached due importance 0.614

Factor 2

SQ5 Fee structure helps in the selection process 0.397 IQ7 Students can visit the library whenever they find time 0.576 IQ8 Reading and internet facilities are available in the hostel 0.678 IQ9 Mess food is hygienic and homely 0.741 IQ10 Toilets for the students are in adequate number 0.507 IQ11 Boys & girls common rooms are in adequate number 0.552 IQ14 Auditorium / Amphitheater is well equipped 0.678 IQ15 A secured Wi-Fi facility for the students 0.778 IQ17 Potable water supply and outlets for drinking water at strategic 0.712

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Factor Name Items Factor

Loadingslocations

IQ19 Facility for sewage disposal is sufficient and appropriate 0.479 IQ22 Adequate safety provisions for calamities 0.533

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.534

IQ27 Transport facility from remote areas 0.595 IQ31 Recreational facilities are satisfactory for the students 0.66

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.485

Factor 3

IQ5 Class rooms are in sufficient number 0.413 IQ20 Parking facility for the students’ vehicle is spacious 0.338

PDQ4 Sufficient clubs and societies providing developmental activities 0.599 PDQ5 Adequate activities for enhancement of soft and life skills 0.551

PDQ6 Good hands - on skills are imparted during the workshop practices 0.379

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.446

PDQ12 Proper guidance is provided in the live projects for research 0.489

MQ1 A well defined Academic Policy is in place 0.638

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.688

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.797

MQ4 Transparency in working of the institution 0.606 MQ8 Efficient Grievance Redressal Committee 0.443

Factor 4

SQ2 Entrance examination helps in the selection process 0.335 SQ3 The students admitted have required basic knowledge 0.562 IQ12 Stationary store and reprography facility in centralized location 0.402 IQ13 First aid cum sick room with required facilities 0.485 IQ18 Back up electric supply is available when required 0.349 IQ29 CCTV Security System covers vital areas of the institute 0.529

Factor 5

SQ1 Uniform criteria followed at the time of giving admission 0.685 AQ13 Question papers follow a fixed structure 0.524 IQ28 Post, Banking Facility / ATM is located in a centralized location 0.447 PQ5 A good number of recruiters visit the campus 0.712 PQ6 Reputed companies visit the campus for the recruitment 0.624

Factor 6 MQ7 Student grievances’ are timely addressed by the authority 0.906

MQ9 Institute focuses on the prevention and prohibition of ragging 0.906

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Interpretations: Looking at the above table, it can be seen that AQ3, AQ4, AQ5, AQ6,

AQ7, AQ8, AQ9, AQ11, AQ14, IQ2, IQ3, IQ4, IQ6, IQ30, PDQ1, PDQ2, PDQ3, PDQ8,

PDQ10, PDQ11, PQ1, PQ2 and PQ3 are substantially loaded on Factor 1, SQ5, IQ7, IQ8,

IQ9, IQ10, IQ11, IQ14, IQ15, IQ17, IQ19, IQ22, IQ26, IQ27, IQ31 and PDQ14 are

substantially loaded on Factor 2, IQ5, IQ20, PDQ4, PDQ5, PDQ6, PDQ7, PDQ12, MQ1,

MQ2, MQ3, MQ4 and MQ8 are substantially loaded on Factor 3, SQ2, SQ3, IQ12, IQ13,

IQ18 and IQ29 are substantially loaded on Factor 4, SQ1, AQ13, IQ28, PQ5 and PQ6 are

substantially loaded on Factor 5, while MQ7 and MQ9 are substantially loaded on Factor

6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.396 - 0.711. The aspects included

namely:

a) Students come prepared for classes

b) Teachers are committed, sincere and dedicated

c) Faculty is qualified and competent

d) Effective teaching-learning process

e) Students’ doubts are cleared through tutorials

f) Flexible teaching methods

g) Faculty is easily available to students

h) Presence of guidance, counseling and mentoring activities

i) Fair & transparent evaluation system

j) Laboratories are well equipped

k) Facilities of sports are sufficient

l) Communication laboratory is modernized and well equipped

m) Library is well equipped

n) LCD projectors equipped classrooms are adequate in number

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o) Enough opportunities for Industry Institute Interaction

p) Entrepreneurship cell conduct sufficient activities

q) Industry Institute Partnership Cell (IIPC) is active and efficient

r) Atmosphere is conducive for the development of the requisite competencies

s) Eminent professors, senior industry executives are invited for guest lectures

t) Student exchange programmes are beneficial

u) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

v) Student service centre exists to provide efficient academic, financial,

administrative services

w) Project work and summer training is attached due importance

Factor – 2: The factor loadings ranged between 0.397 - 0.778. The aspects included

namely:

a) Fee structure helps in the selection process

b) Students can visit the library whenever they find time

c) Reading and internet facilities are available in the hostel

d) Mess food is hygienic and homely

e) Toilets for the students are in adequate number

f) Boys & girls common rooms are in adequate number

g) Auditorium / Amphitheater is well equipped

h) A secured Wi-Fi facility for the students

i) Potable water supply and outlets for drinking water at strategic locations

j) Facility for sewage disposal is sufficient and appropriate

k) Adequate safety provisions for calamities

l) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

m) Transport facility from remote areas

n) Recreational facilities are satisfactory for the students

o) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

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Factor – 3: The factor loadings ranged between 0.338 - 0.797. The aspects included

namely:

a) Class rooms are in sufficient number

b) Parking facility for the students’ vehicle is spacious

c) Sufficient clubs and societies providing developmental activities

d) Adequate activities for enhancement of soft and life skills

e) Good hands - on skills are imparted during the workshop practices

f) Students are encouraged to participate in co-curricular & extra-curricular

activities

g) Proper guidance is provided in the live projects for research

h) A well defined Academic Policy is in place

i) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

j) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

k) Transparency in working of the institution

l) Efficient Grievance Redressal Committee

Factor – 4: The factor loadings ranged between 0.335 - 0.562. The aspects included

namely:

a) Entrance examination helps in the selection process

b) The students admitted have required basic knowledge

c) Stationary store and reprography facility in centralized location

d) First aid cum sick room with required facilities

e) Back up electric supply is available when required

f) CCTV Security System covers vital areas of the institute

Factor – 5: The factor loadings ranged between 0.447 - 0.712. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) Question papers follow a fixed structure

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c) Post, Banking Facility / ATM is located in a centralized location

d) A good number of recruiters visit the campus

e) Reputed companies visit the campus for the recruitment

Factor – 6: The factor loadings of the two aspects is 0.906. The aspects included namely:

a) Student grievances’ are timely addressed by the authority

b) Institute focuses on the prevention and prohibition of ragging

4.2.10 Institute “E” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.21: Showing the Rotated Component Matrix for 5 components for Institute “E” (faculty members) Component 1 2 3 4 5SQ2 .480 .003 -.164 .442 .549SQ3 .060 .392 -.451 -.322 .503AQ4 .627 .187 -.006 .074 .489AQ6 .176 -.117 -.094 .598 .422AQ7 .779 .276 .041 .033 .037AQ8 .629 -.262 -.048 .137 .474AQ9 .513 .304 -.239 .225 -.196AQ10 .126 .799 .118 -.083 .052AQ11 -.002 .142 .519 .179 -.168AQ12 -.165 .366 .403 -.595 .048AQ14 .485 .208 -.138 -.211 .454AQ15 -.057 .046 .694 -.285 .421IQ1 -.043 .535 .403 -.036 -.018IQ2 .072 .433 .567 .087 -.019IQ3 .004 .277 .634 .019 .183IQ4 .222 .696 .279 .169 .068IQ5 -.007 .138 .291 .783 -.070IQ6 .513 .372 .267 -.304 -.132IQ7 .031 -.300 .234 .014 .638IQ8 .646 .217 -.130 .399 .027IQ9 .424 .036 .138 .626 .331IQ10 .051 .323 .073 .250 .623PDQ1 .704 .038 .232 .207 .049PDQ2 .614 -.329 .133 .125 .174PDQ3 .768 -.255 -.023 -.166 -.066PDQ4 .583 -.435 .451 .258 -.146PDQ5 .642 .190 .101 .058 .097PDQ6 .073 .035 .763 .179 .188MQ1 -.201 .698 -.225 .022 .051MQ2 -.108 .456 .058 .393 -.115MQ3 .111 .771 -.034 .119 .036MQ4 .001 -.014 .166 .019 .700MQ5 .118 .250 .075 .773 .045MQ6 -.043 .376 .414 .386 .377MQ7 -.006 .655 .197 .258 .076MQ8 .221 -.054 .464 .102 .232MQ9 .454 .617 .210 -.104 -.071MQ10 .205 .445 .277 -.074 -.074MQ11 .055 .029 .631 -.123 -.071Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 8 iterations.

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Table 4.22: Showing the factor loadings for 5 factors for Institute “E” (faculty members)

Factor Name Items Factor

Loadings

Factor 1

AQ4 Faculty is encouraged to participate in curriculum development 0.627

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.779

AQ8 Adequate numbers of PhD holders in each department 0.629 AQ9 Faculty has good number of publications of research papers 0.513 AQ14 Seminar Grant (SG) is given to the faculty 0.485

IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.513

IQ8 Faculty can visit the library with ease whenever they find time 0.646

PDQ1 Adequate Industry Institute Interaction for the faculty development 0.704

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.614

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.768

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.583

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.642

Factor 2

AQ10 Institution holds an adequate number of patents 0.799

IQ1 Communication cell for internal and external communication is well equipped 0.535

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.696

MQ1 Institution has a well defined HR policy 0.698 MQ2 A well defined Academic Policy is in place 0.456

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.771

MQ7 Communication flow between management and faculty is easier 0.655

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.617

MQ10 Working relationships between the Dean and the faculty members are good 0.445

Factor 3

AQ11 Salary structure of the faculty is satisfactory and motivating 0.519

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.694

IQ2 Recreational facilities are satisfactory for the faculty 0.567

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.634

PDQ6 Proper guidance is provided to the faculty in the live projects 0.763

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Factor Name Items Factor

LoadingsMQ6 Transparency in working of the institution 0.414

MQ8 Leadership style exhibited by the Dean and Director is participative 0.464

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.631

Factor 4

AQ6 Faculty Development Programmes are organized on a regular basis 0.598

AQ12 Appraisal is given on the basis of past performance and future potential 0.595

IQ5 Printers are in adequate number within the departments 0.783 IQ9 Toilets for the faculty are hygienic and in adequate number 0.626

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.773

Factor 5

SQ2 Selection process of faculty is fair and standardized 0.549

SQ3 Criteria followed for faculty recruitment is uniform 0.503

IQ7 Library is well equipped 0.638 IQ10 Parking facility for the faculty vehicle is spacious 0.623

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.7

Interpretations: Looking at the above table, it can be seen that AQ4, AQ7, AQ8, AQ9,

AQ14, IQ6, IQ8, PDQ1, PDQ2, PDQ3, PDQ4 and PDQ5 are substantially loaded on

Factor 1, AQ10, IQ1, IQ4, MQ1, MQ2, MQ3, MQ7, MQ9 and MQ10 are substantially

loaded on Factor 2, AQ11, AQ15, IQ2, IQ3, PDQ6, MQ6, MQ8 and MQ11 are

substantially loaded on Factor 3, AQ6, AQ12, IQ5, IQ9 and MQ5 are substantially

loaded on Factor 4, while SQ2, SQ3, IQ7, IQ10 and MQ4 are substantially loaded on

Factor 5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

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Factor – 1: The factor loadings ranged between 0.485 - 0.779. The aspects included

namely:

a) Faculty is encouraged to participate in curriculum development

b) R & D support available is sufficient and well equipped for successful

innovation

c) Adequate numbers of PhD holders in each department

d) Faculty has good number of publications of research papers

e) Seminar Grant (SG) is given to the faculty

f) A secured Wi-Fi facility is well channelized to provide easy access

g) Faculty can visit the library with ease whenever they find time

h) Adequate Industry Institute Interaction for the faculty development

i) Activities are arranged for enhancement of soft and life skills of the faculty

j) Faculty has a conducive atmosphere for the development of the requisite

competencies

k) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

l) Faculty exchange programmes for giving exposure to the faculty

Factor – 2: The factor loadings ranged between 0.445 - 0.799. The aspects included

namely:

a) Institution holds an adequate number of patents

b) Communication cell for internal and external communication is well equipped

c) Faculty members are provided with sufficient necessary facilities for doing

academic work

d) Institution has a well defined HR policy

e) A well defined Academic Policy is in place

f) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

g) Communication flow between management and faculty is easier

h) Working relationships between the Head of Departments and their faculty

members are synchronized

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i) Working relationships between the Dean and the faculty members are good

Factor – 3: The factor loadings ranged between 0.414 - 0.763. The aspects included

namely:

a) Salary structure of the faculty is satisfactory and motivating

b) Institute gives Teacher Research Fellowship (TRF) in optimum number

c) Recreational facilities are satisfactory for the faculty

d) Faculty / staff rooms are spacious, well furnished and adequate in number

e) Proper guidance is provided to the faculty in the live projects

f) Transparency in working of the institution

g) Leadership style exhibited by the Dean and Director is participative

h) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 4: The factor loadings ranged between 0.595 - 0.783. The aspects included

namely:

a) Faculty Development Programmes are organized on a regular basis

b) Appraisal is given on the basis of past performance and future potential

c) Printers are in adequate number within the departments

d) Toilets for the faculty are hygienic and in adequate number

e) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

Factor – 5: The factor loadings ranged between 0.503 - 0.7. The aspects included namely:

a) Selection process of faculty is fair and standardized

b) Criteria followed for faculty recruitment is uniform

c) Library is well equipped

d) Parking facility for the faculty vehicle is spacious

e) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

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4.2.11 Institute “F” (student)

Principal Component Analysis with varimax rotation was performed through SPSS on the

63 items. Six factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

PQi are the questions pertaining to “Placements” parameter

MQi are the questions pertaining to “Management & Administration” parameter

Table 4.23: Showing the Rotated Component Matrix for 6 components for Institute “F” (students) Component 1 2 3 4 5 6SQ1 -.033 .130 .128 .093 .520 -.070SQ2 .549 -.204 .377 .007 .143 -.197SQ3 -.023 .018 .270 -.065 .358 -.394SQ5 .044 -.196 -.039 .451 .301 -.341AQ3 .249 .359 .085 -.063 .427 -.195AQ4 .142 .251 .175 .094 .652 .009AQ5 .302 .197 .060 .091 .679 .122AQ6 .077 .431 -.023 -.028 .529 .155AQ7 .296 .407 .228 -.214 .465 .193AQ8 .318 .475 .218 -.246 .394 .160AQ9 .279 .439 .169 -.043 .301 .405AQ11 .350 .478 .027 .169 .059 .172AQ13 .074 .352 -.030 .034 .142 -.183AQ14 .265 .072 .692 -.087 .162 -.003IQ2 .620 .324 .224 .296 .030 .000IQ3 .577 .294 .245 .125 -.079 .063IQ4 .579 .307 .325 .241 .185 -.055IQ5 .204 .039 .349 -.172 .348 .085IQ6 .128 -.070 .744 .171 .040 .029IQ7 .171 .127 .227 .125 .114 .066IQ8 .400 .378 .145 .219 .418 .127

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Component 1 2 3 4 5 6IQ9 .705 .193 .013 .219 .400 .122IQ10 .560 .105 .135 .308 .189 .133IQ11 .468 .263 .156 .358 .084 .419IQ12 .228 .012 .301 .212 .112 .614IQ13 .172 .170 .600 .418 .138 .288IQ14 -.232 -.314 .208 .089 .400 .540IQ15 .321 .222 .339 .388 .342 .219IQ17 .676 .176 .326 .105 .003 .161IQ18 .331 .229 .592 .256 -.039 .033IQ19 .579 .048 .458 .229 .115 .071IQ20 -.020 .129 .678 .128 .384 .124IQ22 .358 .090 .669 -.043 .247 .113IQ26 .697 .270 .006 .137 .136 .057IQ27 .479 .130 .405 .291 .269 .153IQ28 .204 -.085 .193 .656 -.161 .145IQ29 .132 .202 .493 .525 .184 -.113IQ30 .584 .175 .275 .072 .299 -.139IQ31 .501 .235 .109 .411 .035 .000PDQ1 .603 .371 .277 .178 .225 -.231PDQ2 .434 .431 .245 .360 .292 -.053PDQ3 .663 .409 .123 .278 .056 .132PDQ4 .319 .227 .549 .238 -.119 .095PDQ5 .437 .369 .464 .201 -.152 -.031PDQ6 .487 .247 .351 .071 .059 .101PDQ7 .085 .481 .430 .186 .181 .307PDQ8 .174 .310 .469 .431 .016 .265PDQ10 .406 .354 .429 .104 .041 -.106PDQ11 .143 .732 .120 .131 -.013 .143PDQ12 .299 .544 .311 .029 .276 -.064PDQ14 .110 .226 .476 .406 .209 -.178PQ1 .159 .753 .050 .108 .155 .050PQ2 .182 .806 .117 .055 .174 .086PQ3 .165 .772 .185 -.058 .080 -.100PQ5 .302 .637 .163 .264 .295 -.102PQ6 .402 .533 .241 .164 .210 -.287MQ1 .391 .298 .271 .507 -.236 -.108MQ2 .353 .140 .250 .682 -.169 -.013MQ3 .174 .188 .097 .745 .168 .074MQ4 .159 .480 .536 .115 .154 -.066MQ7 .147 .654 .068 .360 .173 .080MQ8 .330 .504 .273 .415 .153 .042MQ9 .295 .104 -.030 .580 .062 .244Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 39 iterations.

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Table 4.24: Showing the factor loadings for 6 factors for Institute “F” (students)

Factor Name Items Factor

Loadings

Factor 1

SQ2 Entrance examination helps in the selection process 0.549 IQ2 Laboratories are well equipped 0.62 IQ3 Facilities of sports are sufficient 0.577 IQ4 Communication laboratory is modernized and well equipped 0.579 IQ9 Mess food is hygienic and homely 0.705 IQ10 Toilets for the students are in adequate number 0.56 IQ11 Boys & girls common rooms are in adequate number 0.468

IQ17 Potable water supply and outlets for drinking water at strategic locations 0.676

IQ19 Facility for sewage disposal is sufficient and appropriate 0.579

IQ26 Enterprise Resource Planning (ERP) Software for Student-Institution-Parent interaction is well developed 0.697

IQ27 Transport facility from remote areas 0.479 IQ30 LCD projectors equipped classrooms are adequate in number 0.584 IQ31 Recreational facilities are satisfactory for the students 0.501

PDQ1 Enough opportunities for Industry Institute Interaction 0.603

PDQ2 Entrepreneurship cell conduct sufficient activities 0.434 PDQ3 Industry Institute Partnership Cell (IIPC) is active and efficient 0.663

PDQ6 Good hands - on skills are imparted during the workshop practices 0.487

Factor 2

AQ11 Presence of guidance, counseling and mentoring activities 0.478 AQ13 Question papers follow a fixed structure 0.352

PDQ7 Students are encouraged to participate in co-curricular & extra-curricular activities 0.481

PDQ11 Student exchange programmes are beneficial 0.732

PDQ12 Proper guidance is provided in the live projects for research 0.544

PQ1 Training and placement cell is able to arrange summer training and campus interviews in an adequate number 0.753

PQ2 Student service centre exists to provide efficient academic, financial, administrative services 0.806

PQ3 Project work and summer training is attached due importance 0.772 PQ5 A good number of recruiters visit the campus 0.637 PQ6 Reputed companies visit the campus for the recruitment 0.533 MQ7 Student grievances’ are timely addressed by the authority 0.654

MQ8 Efficient Grievance Redressal Committee 0.504

Factor 3

AQ14 Fair & transparent evaluation system 0.692 IQ5 Class rooms are in sufficient number 0.349

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Factor Name Items Factor

LoadingsIQ6 Library is well equipped 0.744 IQ7 Students can visit the library whenever they find time 0.227 IQ13 First aid cum sick room with required facilities 0.6 IQ18 Back up electric supply is available when required 0.592 IQ20 Parking facility for the students’ vehicle is spacious 0.678 IQ22 Adequate safety provisions for calamities 0.669

PDQ4 Sufficient clubs and societies providing developmental activities 0.549 PDQ5 Adequate activities for enhancement of soft and life skills 0.464

PDQ8 Atmosphere is conducive for the development of the requisite competencies 0.469

PDQ10 Eminent professors, senior industry executives are invited for guest lectures 0.429

PDQ14 Fresher party, farewell party, techno fests etc are well organized under disciplined environment 0.476

MQ4 Transparency in working of the institution 0.536

Factor 4

SQ5 Fee structure helps in the selection process 0.451 IQ15 A secured Wi-Fi facility for the students 0.388 IQ28 Post, Banking Facility / ATM is located in a centralized location 0.656 IQ29 CCTV Security System covers vital areas of the institute 0.525

MQ1 A well defined Academic Policy is in place 0.507

MQ2 The Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.682

MQ3 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.745

MQ9 Institute focuses on the prevention and prohibition of ragging 0.58

Factor 5

SQ1 Uniform criteria followed at the time of giving admission 0.52 SQ3 The students admitted have required basic knowledge 0.358 AQ3 Students come prepared for classes 0.427 AQ4 Teachers are committed, sincere and dedicated 0.652 AQ5 Faculty is qualified and competent 0.679 AQ6 Effective teaching-learning process 0.529 AQ7 Students’ doubts are cleared through tutorials 0.465 AQ8 Flexible teaching methods 0.394 IQ8 Reading and internet facilities are available in the hostel 0.418

Factor 6

AQ9 Faculty is easily available to students 0.405 IQ12 Stationary store and reprography facility in centralized location 0.614 IQ14 Auditorium / Amphitheater is well equipped 0.54

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Interpretations: Looking at the above table, it can be seen that SQ2, IQ2, IQ3, IQ4, IQ9,

IQ10, IQ11, IQ17, IQ19, IQ26, IQ27, IQ30, IQ31, PDQ1, PDQ2, PDQ3, PDQ6 are

substantially loaded on Factor 1, AQ11, AQ13, PDQ7, PDQ11, PDQ12, PQ1, PQ2, PQ3,

PQ5, PQ6, MQ7, MQ8 are substantially loaded on Factor 2, AQ14, IQ5, IQ6, IQ7, IQ13,

IQ18, IQ20, IQ22, PDQ4, PDQ5, PDQ8, PDQ10, PDQ14, MQ4 are substantially loaded

on Factor 3, SQ5, IQ15, IQ28, IQ29, MQ1, MQ2, MQ3, MQ9 are substantially loaded on

Factor 4, SQ1, SQ3, AQ3, AQ4, AQ5, AQ6, AQ7, AQ8, IQ8 are substantially loaded on

Factor 5, while AQ9, IQ12, IQ14 are substantially loaded on Factor 6.

Factor analysis for each set of student respondents is done based on the factor loadings.

In all six factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the six factors with the list of the aspects

which the individual factors include:

Factor – 1: The factor loadings ranged between 0.434 - 0.705. The aspects included

namely:

a) Entrance examination helps in the selection process

b) Laboratories are well equipped

c) Facilities of sports are sufficient

d) Communication laboratory is modernized and well equipped

e) Mess food is hygienic and homely

f) Toilets for the students are in adequate number

g) Boys & girls common rooms are in adequate number

h) Potable water supply and outlets for drinking water at strategic locations

i) Facility for sewage disposal is sufficient and appropriate

j) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

k) Transport facility from remote areas

l) LCD projectors equipped classrooms are adequate in number

m) Recreational facilities are satisfactory for the students

n) Enough opportunities for Industry Institute Interaction

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o) Entrepreneurship cell conduct sufficient activities

p) Industry Institute Partnership Cell (IIPC) is active and efficient

q) Good hands - on skills are imparted during the workshop practices

Factor – 2: The factor loadings ranged between 0.352 - 0.806. The aspects included

namely:

a) Presence of guidance, counseling and mentoring activities

b) Question papers follow a fixed structure

c) Students are encouraged to participate in co-curricular & extra-curricular

activities

d) Student exchange programmes are beneficial

e) Proper guidance is provided in the live projects for research

f) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

g) Student service centre exists to provide efficient academic, financial,

administrative services

h) Project work and summer training is attached due importance

i) A good number of recruiters visit the campus

j) Reputed companies visit the campus for the recruitment

k) Student grievances’ are timely addressed by the authority

l) Efficient Grievance Redressal Committee

Factor – 3: The factor loadings ranged between 0.227 - 0.744. The aspects included

namely:

a) Fair & transparent evaluation system

b) Class rooms are in sufficient number

c) Library is well equipped

d) Students can visit the library whenever they find time

e) First aid cum sick room with required facilities

f) Back up electric supply is available when required

g) Parking facility for the students’ vehicle is spacious

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h) Adequate safety provisions for calamities

i) Sufficient clubs and societies providing developmental activities

j) Adequate activities for enhancement of soft and life skills

k) Atmosphere is conducive for the development of the requisite competencies

l) Eminent professors, senior industry executives are invited for guest lectures

m) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

n) Transparency in working of the institution

Factor – 4: The factor loadings ranged between 0.388 - 0.745. The aspects included

namely:

a) Fee structure helps in the selection process

b) A secured Wi-Fi facility for the students

c) Post, Banking Facility / ATM is located in a centralized location

d) CCTV Security System covers vital areas of the institute

e) A well defined Academic Policy is in place

f) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

g) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

h) Institute focuses on the prevention and prohibition of ragging

Factor – 5: The factor loadings ranged between 0.358 - 0.679. The aspects included

namely:

a) Uniform criteria followed at the time of giving admission

b) The students admitted have required basic knowledge

c) Students come prepared for classes

d) Teachers are committed, sincere and dedicated

e) Faculty is qualified and competent

f) Effective teaching-learning process

g) Students’ doubts are cleared through tutorials

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h) Flexible teaching methods

i) Reading and internet facilities are available in the hostel

Factor – 6: The factor loadings ranged between 0.405 - 0.614. The aspects included

namely:

a) Faculty is easily available to students

b) Stationary store and reprography facility in centralized location

c) Auditorium / Amphitheater is well equipped

4.2.12 Institute “F” (faculty member)

Principal Component Analysis with varimax rotation was performed through SPSS on the

39 items. Five factors were extracted.

ROTATED COMPONENT (FACTOR) MATRIX

Acronym:

SQi are the questions pertaining to “Selection Process” parameter

AQi are the questions pertaining to “Academic Excellence” parameter

IQi are the questions pertaining to “Infrastructure” parameter

PDQi are the questions pertaining to “Personality Development & Industry Exposure”

parameter

MQi are the questions pertaining to “Management & Administration” parameter

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Table 4.25: Showing the Rotated Component Matrix for 5 components for Institute “F” (faculty members) Component 1 2 3 4 5SQ2 .055 .001 .235 .822 .284SQ3 .088 .097 .143 .803 -.009AQ4 .074 .264 .082 .305 .751AQ6 .182 -.083 .649 .385 .048AQ7 -.007 -.121 .687 -.051 -.035AQ8 .005 .585 .671 .147 -.051AQ9 .144 .586 .289 .085 .431AQ10 .205 .292 .629 -.043 .187AQ11 .038 .382 .678 .017 .075AQ12 .446 -.078 .357 -.162 .609AQ14 .570 -.049 .575 -.218 .340AQ15 .161 .042 .410 .084 .273IQ1 .199 .700 .229 -.166 .278IQ2 -.045 .572 .493 .135 -.063IQ3 .003 .771 .019 .225 -.043IQ4 .187 .595 -.048 .123 -.025IQ5 .034 .850 .114 -.066 -.106IQ6 -.006 .751 .129 -.079 .307IQ7 -.129 .794 .080 .068 .000IQ8 .133 .765 -.305 .092 -.047IQ9 .219 .589 -.148 .483 .450IQ10 .636 -.052 -.304 -.189 -.341PDQ1 .557 .163 .458 .080 -.494PDQ2 .685 .249 .391 .035 .119PDQ3 .700 .034 .330 .329 -.182PDQ4 .534 -.129 .488 .088 .129PDQ5 .416 .232 .623 .366 -.022PDQ6 .437 -.157 .491 .007 -.122MQ1 .800 .177 .294 -.168 .063MQ2 .756 .028 .358 -.017 -.138MQ3 .227 .406 -.193 .637 -.147MQ4 .586 .216 .213 .200 -.328MQ5 .768 -.028 -.028 .258 .181MQ6 .751 .257 .221 .026 -.181MQ7 .782 .110 -.104 .236 .105MQ8 .783 .090 .158 .098 .116MQ9 .721 .094 .015 -.074 .286MQ10 .812 -.060 -.122 -.032 .263MQ11 .760 -.058 .117 .310 .089Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 6 iterations.

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Table 4.26: Showing the factor loadings for 5 factors for Institute “F” (faculty members) Factor Name Items Factor

Loadings

Factor 1

AQ12 Appraisal is given on the basis of past performance and future potential 0.446

IQ10 Parking facility for the faculty vehicle is spacious 0.636 PDQ1 Adequate Industry Institute Interaction for the faculty development 0.557

PDQ2 Activities are arranged for enhancement of soft and life skills of the faculty 0.685

PDQ3 Faculty has a conducive atmosphere for the development of the requisite competencies 0.7

PDQ4 Eminent professors, senior industry executives are invited for guest lectures for interaction with faculty 0.534

MQ1 Institution has a well defined HR policy 0.8

MQ2 A well defined Academic Policy is in place 0.756

MQ4 Decisions are taken by the duly constituted BOG / BOS /BOF assisted by committees and represented by faculty and experts 0.586

MQ5 Sufficient surplus is available for cost recovery as well as for expansion, quality and efficiency improvement 0.768

MQ6 Transparency in working of the institution 0.751

MQ7 Communication flow between management and faculty is easier 0.782

MQ8 Leadership style exhibited by the Dean and Director is participative 0.783

MQ9 Working relationships between the Head of Departments and their faculty members are synchronized 0.721

MQ10 Working relationships between the Dean and the faculty members are good 0.812

MQ11 Quality Improvement Programme (QIP) is updated on regular intervals 0.76

Factor 2

AQ9 Faculty has good number of publications of research papers 0.586

IQ1 Communication cell for internal and external communication is well equipped 0.7

IQ2 Recreational facilities are satisfactory for the faculty 0.572

IQ3 Faculty / staff rooms are spacious, well furnished and adequate in number 0.771

IQ4 Faculty members are provided with sufficient necessary facilities for doing academic work 0.595

IQ5 Printers are in adequate number within the departments 0.85 IQ6 A secured Wi-Fi facility is well channelized to provide easy access 0.751 IQ7 Library is well equipped 0.794 IQ8 Faculty can visit the library with ease whenever they find time 0.765 IQ9 Toilets for the faculty are hygienic and in adequate number 0.589

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Factor Name Items Factor

Loadings

Factor 3

AQ6 Faculty Development Programmes are organized on a regular basis 0.649

AQ7 R & D support available is sufficient and well equipped for successful innovation 0.687

AQ8 Adequate numbers of PhD holders in each department 0.671 AQ10 Institution holds an adequate number of patents 0.629 AQ11 Salary structure of the faculty is satisfactory and motivating 0.678 AQ14 Seminar Grant (SG) is given to the faculty 0.575

AQ15 Institute gives Teacher Research Fellowship (TRF) in optimum number 0.41

PDQ5 Faculty exchange programmes for giving exposure to the faculty 0.623 PDQ6 Proper guidance is provided to the faculty in the live projects 0.491

Factor 4

SQ2 Selection process of faculty is fair and standardized 0.822 SQ3 Criteria followed for faculty recruitment is uniform 0.803

MQ3 Director/Head of Departments / Officers have the academic, financial and administrative freedom 0.637

Factor 5 AQ4 Faculty is encouraged to participate in curriculum development 0.751

Interpretations: Looking at the table, it can be seen that AQ12, IQ10, PDQ1, PDQ2,

PDQ3, PDQ4, MQ1, MQ2, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9, MQ10, MQ11 are

substantially loaded on Factor 1, AQ9, IQ1, IQ2, IQ3, IQ4, IQ5, IQ6, IQ7, IQ8, IQ9 are

substantially loaded on Factor 2, AQ6, AQ7, AQ8, AQ10, AQ11, AQ14, AQ15, PDQ5,

PDQ6 are substantially loaded on Factor 3, SQ2, SQ3, MQ3 are substantially loaded on

Factor 4, while AQ4 are substantially loaded on Factor 5.

Factor analysis for each set of faculty respondents is done based on the factor loadings. In

all five factors have been extracted through Principal Component Analysis. Each factor

represents the group of similar and coherent aspects for which response is sought through

questionnaire. Following is the range of each of the five factors with the list of the

aspects which the individual factors include:

Factor – 1: The factor loadings ranged between 0.446 - 0.812. The aspects included

namely:

a) Appraisal is given on the basis of past performance and future potential

b) Parking facility for the faculty vehicle is spacious

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c) Adequate Industry Institute Interaction for the faculty development

d) Activities are arranged for enhancement of soft and life skills of the faculty

e) Faculty has a conducive atmosphere for the development of the requisite

competencies

f) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

g) Institution has a well defined HR policy

h) A well defined Academic Policy is in place

i) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

j) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

k) Transparency in working of the institution

l) Communication flow between management and faculty is easier

m) Leadership style exhibited by the Dean and Director is participative

n) Working relationships between the Head of Departments and their faculty

members are synchronized

o) Working relationships between the Dean and the faculty members are good

p) Quality Improvement Programme (QIP) is updated on regular intervals

Factor – 2: The factor loadings ranged between 0.572 - 0.85. The aspects included

namely:

a) Faculty has good number of publications of research papers

b) Communication cell for internal and external communication is well equipped

c) Recreational facilities are satisfactory for the faculty

d) Faculty / staff rooms are spacious, well furnished and adequate in number

e) Faculty members are provided with sufficient necessary facilities for doing

academic work

f) Printers are in adequate number within the departments

g) A secured Wi-Fi facility is well channelized to provide easy access

h) Library is well equipped

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i) Faculty can visit the library with ease whenever they find time

j) Toilets for the faculty are hygienic and in adequate number

Factor – 3: The factor loadings ranged between 0.41 - 0.687. The aspects included

namely:

a) Faculty Development Programmes are organized on a regular basis

b) R & D support available is sufficient and well equipped for successful

innovation

c) Adequate numbers of PhD holders in each department

d) Institution holds an adequate number of patents

e) Salary structure of the faculty is satisfactory and motivating

f) Seminar Grant (SG) is given to the faculty

g) Institute gives Teacher Research Fellowship (TRF) in optimum number

h) Faculty exchange programmes for giving exposure to the faculty

i) Proper guidance is provided to the faculty in the live projects

Factor – 4: The factor loadings ranged between 0.637 - 0.822. The aspects included

namely:

a) Selection process of faculty is fair and standardized

b) Criteria followed for faculty recruitment is uniform

c) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

Factor – 5: The factor loading of the aspect is 0.751. The aspect included namely:

a) Faculty is encouraged to participate in curriculum development

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5.1 RESULTS ON THE BASIS OF STUDENTS’ RESPONSES

Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Selection Process” parameter.

Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Academic Excellence” parameter.

Students of Institute “A”, “B”, “C”, “D” and “F” were not satisfied with the

“Infrastructure” parameter. While “Infrastructure” parameter was perceived to be

satisfactory by the students of Institute “E”.

Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Personality Development & Industry Exposure” parameter.

Students of Institute “A”, “B”, “C” and “E” were not satisfied with the “Placements”

parameter. While “Placements” parameter was perceived to be satisfactory by the

students of Institute “D” and “F”.

Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Management & Administration” parameter.

SELECTION PROCESS

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The criteria followed at the time of giving admission to the students are

uniform”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The entrance examination conducted by the institute for the admission

purpose of students helps in the selection process”.

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• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The students admitted have required basic knowledge of all the subjects at

entry level to the technical courses”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The fee structure is such that it helps in the selection process”.

ACADEMIC EXCELLENCE

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The students come prepared for lectures/tutorials, lab/workshop classes”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The teachers are committed, sincere and dedicated”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The faculty is qualified and competent”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The teaching-learning process is carried with the aim of imparting

maximum knowledge to each & every student”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Tutorials are conducted in such a way that all the doubts of the students are

cleared”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The institution adopts teaching methods to the diversity of its students'

body”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

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question “The faculty is easily available to students for solving their problems”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The guidance, counseling and mentoring activities are taken care of by in-

house as well as external experts”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The question papers follow a fixed structure”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The evaluation of the students is fair, transparent and open to the students

and parents”.

INFRASTRUCTURE

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The laboratories are well equipped with sufficient and latest equipments to

impart skills for the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Facilities of sports and games are sufficient for encouraging the

participation of the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The communication laboratory is modernized and well equipped”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The class rooms are in sufficient number”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The library is well equipped with books, National, International & E

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Journals and internet facility for the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The students can visit the library whenever they find time during the

holidays, weekends and off hours”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The reading and internet facilities are available in the hostel”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The mess food is hygienic and homely”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The toilets for the students (for both males & females) are in adequate

number at strategic locations”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The institute has boys & girls common rooms in adequate number”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The institute has stationary store and reprography facility in centralized

location”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The institute has first aid cum sick room with required facilities”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The Auditorium / Amphitheater is well equipped”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “A secured Wi-Fi facility for the students is well channelized to provide

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easy access”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Potable water supply and outlets for drinking water at strategic locations is

available in plenty”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Back up electric supply is available in the institute when required”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Facility for sewage disposal is sufficient and appropriate”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Parking facility for the students’ vehicle is spacious”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Institute has adequate safety provisions including fire and other calamities”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Enterprise Resource Planning (ERP) Software for Student-Institution-

Parent interaction is well developed”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The transport facility is adequate in number to help students to commute

from remote areas”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The Post, Banking Facility / ATM is located in a centralized location”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “CCTV Security System covers all the vital areas of the institute”.

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• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “LCD (or similar) projectors equipped classrooms are adequate in number”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The hostel, residential, canteen and other recreational facilities are

satisfactory for the students”.

PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “There are enough opportunities for Industry Institute Interaction for the

students’ development”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The entrepreneurship cell / programmes conduct sufficient activities for

creating & nurturing entrepreneurial mindset”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The Industry Institute Partnership Cell (IIPC) is active and efficient”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The institute has sufficient clubs and societies providing developmental

activities for the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Adequate activities are arranged for enhancement of soft and life skills for

the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Good hands - on skills are imparted during the workshop practices”.

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• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Each student is encouraged to participate in co-curricular, extra-curricular

activities and event management. The students' participation is specifically

acknowledged through certificates etc.”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The atmosphere is conducive for the development of the requisite

competencies for the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Eminent professors, senior industry executives and successful personalities

are invited for guest lectures for interaction with students from time to time”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The student exchange programmes for giving exposure to the students

proves to be beneficial”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Proper guidance is provided to the students in the live projects for

research”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The fresher party, farewell party, techno fests etc for the students are well

organized under disciplined environment”.

PLACEMENTS

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The training and placement cell is able to arrange summer training and

campus interviews in an adequate number for the students”.

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• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “A well established student service centre exists to provide efficient

academic, financial, administrative services to the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The project work and summer training is attached due importance”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “A good number of recruiters visit the campus for the recruitment of the

students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Reputed companies visit the campus for the recruitment of students in good

number”.

MANAGEMENT AND ADMINISTRATION

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “A well defined Academic Policy is in place and all the stake holders are

familiar with the same”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The Director / Head of Departments / Officers have the academic, financial

and administrative freedom”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Decisions are taken by the duly constituted Board of Governors (BOG) /

Board of Studies (BOS) / Board of Faculty (BOF) assisted by various committees and

represented by faculty and experts”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

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question “There is transparency in overall working of the institution”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “The student grievances’ are timely addressed by the authority”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Institute has an efficient Grievance Redressal Committee for the students”.

• Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

question “Institute focuses on the prevention and prohibition of ragging”.

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “A”:

a) Entrance examination helps in the selection process

b) Fee structure helps in the selection process

c) Laboratories are well equipped

d) Facilities of sports are sufficient

e) Communication laboratory is modernized and well equipped

f) Reading and internet facilities are available in the hostel

g) Mess food is hygienic and homely

h) Boys & girls common rooms are in adequate number

i) Parking facility for the students’ vehicle is spacious

j) Sufficient clubs and societies providing developmental activities

k) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

l) Student service centre exists to provide efficient academic, financial,

administrative services

m) A good number of recruiters visit the campus

n) Reputed companies visit the campus for the recruitment

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Following are the least preferable aspects of the six parameters studied by the student

respondents of Institute “A”:

a) The students admitted have required basic knowledge

b) Question papers follow a fixed structure

c) Stationary store and reprography facility in centralized location

d) First aid cum sick room with required facilities

e) Enough opportunities for Industry Institute Interaction

f) Industry Institute Partnership Cell (IIPC) is active and efficient

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “B”:

a) Teachers are committed, sincere and dedicated

b) Effective teaching-learning process

c) Students’ doubts are cleared through tutorials

d) Flexible teaching methods

e) Faculty is easily available to students

f) Presence of guidance, counseling and mentoring activities

g) Question papers follow a fixed structure

h) Entrepreneurship cell conduct sufficient activities

i) Good hands - on skills are imparted during the workshop practices

j) Eminent professors, senior industry executives are invited for guest lectures

k) Student exchange programmes are beneficial

l) Proper guidance is provided in the live projects for research

m) Student service centre exists to provide efficient academic, financial,

administrative services

n) A well defined Academic Policy is in place

o) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

p) Transparency in working of the institution

q) Efficient Grievance Redressal Committee

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Following are the least preferable aspects of the six parameters studied by the student

respondents of Institute “B”:

a) Uniform criteria followed at the time of giving admission

b) Entrance examination helps in the selection process

c) The students admitted have required basic knowledge

d) Students come prepared for classes

e) Faculty is qualified and competent

f) A good number of recruiters visit the campus

g) Reputed companies visit the campus for the recruitment

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “C”:

a) Facilities of sports are sufficient

b) Communication laboratory is modernized and well equipped

c) Class rooms are in sufficient number

d) Library is well equipped

e) Students can visit the library whenever they find time

f) Reading and internet facilities are available in the hostel

g) Mess food is hygienic and homely

h) Boys & girls common rooms are in adequate number

i) Stationary store and reprography facility in centralized location

j) First aid cum sick room with required facilities

k) Auditorium / Amphitheater is well equipped

l) A secured Wi-Fi facility for the students

m) Potable water supply and outlets for drinking water at strategic locations

n) Back up electric supply is available when required

o) Facility for sewage disposal is sufficient and appropriate

p) Parking facility for the students’ vehicle is spacious

q) Adequate safety provisions for calamities

r) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

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s) Post, Banking Facility / ATM is located in a centralized location

t) CCTV Security System covers vital areas of the institute

u) LCD projectors equipped classrooms are adequate in number

v) Students are encouraged to participate in co-curricular & extra-curricular

activities

w) Atmosphere is conducive for the development of the requisite competencies

x) Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

Following is the least preferable aspect of the six parameters studied by the student

respondents of Institute “C”:

a) Institute focuses on the prevention and prohibition of ragging

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “D”:

a) Students come prepared for classes

b) Effective teaching-learning process

c) First aid cum sick room with required facilities

d) Adequate safety provisions for calamities

e) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

f) Recreational facilities are satisfactory for the students

g) Sufficient clubs and societies providing developmental activities

h) Adequate activities for enhancement of soft and life skills

i) Good hands - on skills are imparted during the workshop practices

j) Atmosphere is conducive for the development of the requisite competencies

k) A good number of recruiters visit the campus

l) The Director/Head of Departments / Officers have the academic, financial and

administrative freedom

m) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

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Following are the least preferable aspects of the six parameters studied by the student

respondents of Institute “D”:

a) Students’ doubts are cleared through tutorials

b) Fair & transparent evaluation system

c) Facility for sewage disposal is sufficient and appropriate

d) Transport facility from remote areas

e) CCTV Security System covers vital areas of the institute

f) Reputed companies visit the campus for the recruitment

g) Institute focuses on the prevention and prohibition of ragging

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “E”:

a) Students come prepared for classes

b) Teachers are committed, sincere and dedicated

c) Faculty is qualified and competent

d) Effective teaching-learning process

e) Students’ doubts are cleared through tutorials

f) Flexible teaching methods

g) Faculty is easily available to students

h) Presence of guidance, counseling and mentoring activities

i) Fair & transparent evaluation system

j) Laboratories are well equipped

k) Facilities of sports are sufficient

l) Communication laboratory is modernized and well equipped

m) Library is well equipped

n) LCD projectors equipped classrooms are adequate in number

o) Enough opportunities for Industry Institute Interaction

p) Entrepreneurship cell conduct sufficient activities

q) Industry Institute Partnership Cell (IIPC) is active and efficient

r) Atmosphere is conducive for the development of the requisite competencies

s) Eminent professors, senior industry executives are invited for guest lectures

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t) Student exchange programmes are beneficial

u) Training and placement cell is able to arrange summer training and campus

interviews in an adequate number

v) Student service centre exists to provide efficient academic, financial,

administrative services

w) Project work and summer training is attached due importance

Following are the least preferable aspects of the six parameters studied by the student

respondents of Institute “E”:

a) Student grievances’ are timely addressed by the authority

b) Institute focuses on the prevention and prohibition of ragging

Following are the most preferable aspects of the six parameters studied by the student

respondents of Institute “F”:

a) Entrance examination helps in the selection process

b) Laboratories are well equipped

c) Facilities of sports are sufficient

d) Communication laboratory is modernized and well equipped

e) Mess food is hygienic and homely

f) Toilets for the students are in adequate number

g) Boys & girls common rooms are in adequate number

h) Potable water supply and outlets for drinking water at strategic locations

i) Facility for sewage disposal is sufficient and appropriate

j) Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

k) Transport facility from remote areas

l) LCD projectors equipped classrooms are adequate in number

m) Recreational facilities are satisfactory for the students

n) Enough opportunities for Industry Institute Interaction

o) Entrepreneurship cell conduct sufficient activities

p) Industry Institute Partnership Cell (IIPC) is active and efficient

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q) Good hands - on skills are imparted during the workshop practices

Following are the least preferable aspects of the six parameters studied by the student

respondents of Institute “F”:

a) Faculty is easily available to students

b) Stationary store and reprography facility in centralized location

c) Auditorium / Amphitheater is well equipped

5.2 RESULTS ON THE BASIS OF FACULTY MEMBERS’ RESPONSES

PARAMETERS

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the “Selection Process” parameter.

• Faculty members of Institute “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Academic Excellence” parameter. While “Academic Excellence” parameter was

perceived to be satisfactory by the faculty members of Institute “A”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the “Infrastructure” parameter.

• Faculty members of Institute “A”, “C”, “D”, “E” and “F” were not satisfied with the

“Personality Development & Industry Exposure” parameter. While “Personality

Development & Industry Exposure” parameter was perceived to be satisfactory by the

faculty members of Institute “B”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the “Management & Administration” parameter.

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SELECTION PROCESS

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Selection process of faculty is fair and standardized”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The criteria followed for faculty recruitment is uniform”.

ACADEMIC EXCELLENCE

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty is encouraged to participate in curriculum development”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Faculty Development Programmes are organized on a regular basis

within the campus to ensure employment of latest technology”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “R & D support available for the faculty members is sufficient and well

equipped for successful innovation”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “There are adequate numbers of PhD holders in each department”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty has good number of publications of research papers”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The institution holds an adequate number of patents”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The salary structure of the faculty is satisfactory and motivating”.

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• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The appraisal is given on the basis of past performance and future

potential”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Seminar Grant (SG) given to the faculty proves to be motivational”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The Institute gives Teacher Research Fellowship (TRF) in optimum

number”.

INFRASTRUCTURE

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The communication cell for internal and external communication

towards students, faculty, staff and stakeholders through modern means of

communication like emails, etc. is well equipped and up to the standard”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The hostel, residential, canteen and other recreational facilities are

satisfactory for the faculty”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty / staff rooms in the institute are spacious, well furnished

and adequate in number”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty members are provided with sufficient necessary facilities

for doing their academic work (e.g. PC, Internet, Library support, etc)”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

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the question “The printers are in adequate number within the departments”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “A secured Wi-Fi facility for the faculty is well channelized to provide

easy access”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The library is well equipped with books, National, International & E

Journals and internet facility for the faculty for their research & development”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty can visit the library with ease whenever they find time

during the holidays, weekends and off hours”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The toilets for the faculty (for both males & females) are hygienic and

in adequate number”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Parking facility for the faculty vehicle is spacious”.

PERSONALITY DEVELOPMENT AND INDUSTRY EXPOSURE

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “There is adequate Industry Institute Interaction for the faculty

development”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Various activities are arranged for enhancement of soft and life skills of

the faculty”.

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• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty has a conducive atmosphere for the development of the

requisite competencies”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Eminent professors, senior industry executives and successful

personalities are invited for guest lectures for interaction with faculty from time to

time”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The faculty exchange programmes for giving exposure to the faculty

provide platform for their academic growth”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Proper guidance is provided to the faculty in the live projects”.

MANAGEMENT AND ADMINISTRATION

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The institution has a well defined HR policy for teaching, technical and

administrative staff which includes their integration, career paths, conditions of

service and welfare”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “A well defined Academic Policy is in place and all the stake holders are

familiar with the same”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The Director/Head of Departments / Officers have the academic,

financial and administrative freedom”.

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• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Decisions are taken by the duly constituted Board of Governors (BOG)

/ Board of Studies (BOS) / Board of Faculty (BOF) assisted by various committees

and represented by faculty and experts”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Sufficient surplus is available for cost recovery as well as for

expansion, quality and efficiency improvement”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “There is transparency in overall working of the institution”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “Communication flow between management and faculty is easier”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The leadership style exhibited by the Dean and Director is

participative”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The working relationships between the Head of Departments and their

faculty members are synchronized for growth of institute”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The working relationships between the Dean and the faculty members

are good”.

• Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with

the question “The Quality Improvement Programme (QIP) is updated on regular

intervals”.

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Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “A”:

a) Faculty Development Programmes are organized on a regular basis

b) Institute gives Teacher Research Fellowship (TRF) in optimum number

c) Recreational facilities are satisfactory for the faculty

d) Faculty / staff rooms are spacious, well furnished and adequate in number

e) Faculty members are provided with sufficient necessary facilities for doing

academic work

f) Adequate Industry Institute Interaction for the faculty development

g) Faculty has a conducive atmosphere for the development of the requisite

competencies

h) Proper guidance is provided to the faculty in the live projects

i) Institution has a well defined HR policy

j) A well defined Academic Policy is in place

k) Director/Head of Departments / Officers have the academic, financial and

administrative freedom

l) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

m) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

n) Quality Improvement Programme (QIP) is updated on regular intervals

Following are the least preferable aspects of the five parameters studied by the faculty

respondents of Institute “A”:

a) A secured Wi-Fi facility is well channelized to provide easy access

b) Faculty can visit the library with ease whenever they find time

c) Activities are arranged for enhancement of soft and life skills of the faculty

d) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

e) Communication flow between management and faculty is easier

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Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “B”:

a) Faculty members are provided with sufficient necessary facilities for doing

academic work

b) Library is well equipped

c) Faculty can visit the library with ease whenever they find time

d) Toilets for the faculty are hygienic and in adequate number

e) Parking facility for the faculty vehicle is spacious

f) Adequate Industry Institute Interaction for the faculty development

g) Activities are arranged for enhancement of soft and life skills of the faculty

h) Faculty has a conducive atmosphere for the development of the requisite

competencies

i) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

j) Faculty exchange programmes for giving exposure to the faculty

k) Proper guidance is provided to the faculty in the live projects

l) Institution has a well defined HR policy

m) A well defined Academic Policy is in place

n) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

o) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

p) Working relationships between the Head of Departments and their faculty

members are synchronized

q) Working relationships between the Dean and the faculty members are good

r) Quality Improvement Programme (QIP) is updated on regular intervals

Following are the least preferable aspects of the five parameters studied by the faculty

respondents of Institute “B”:

a) Communication cell for internal and external communication is well equipped

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b) Recreational facilities are satisfactory for the faculty

Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “C”:

a) Criteria followed for faculty recruitment is uniform

b) Adequate numbers of PhD holders in each department

c) Seminar Grant (SG) is given to the faculty

d) Institute gives Teacher Research Fellowship (TRF) in optimum number

e) Printers are in adequate number within the departments

f) Toilets for the faculty are hygienic and in adequate number

g) Activities are arranged for enhancement of soft and life skills of the faculty

h) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

i) Faculty exchange programmes for giving exposure to the faculty

j) Proper guidance is provided to the faculty in the live projects

Following are the least preferable aspects of the five parameters studied by the faculty

respondents of Institute “C”:

a) A well defined Academic Policy is in place

b) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

c) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

d) Transparency in working of the institution

e) Communication flow between management and faculty is easier

Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “D”:

a) Selection process of faculty is fair and standardized

b) Faculty is encouraged to participate in curriculum development

c) Faculty Development Programmes are organized on a regular basis

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d) R & D support available is sufficient and well equipped for successful

innovation

e) Adequate numbers of PhD holders in each department

f) Seminar Grant (SG) is given to the faculty

g) Recreational facilities are satisfactory for the faculty

h) Faculty members are provided with sufficient necessary facilities for doing

academic work

i) Institution holds an adequate number of patents

j) Faculty can visit the library with ease whenever they find time

k) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

l) Institution has a well defined HR policy

m) Transparency in working of the institution

n) Working relationships between the Head of Departments and their faculty

members are synchronized

o) Working relationships between the Dean and the faculty members are good

Following are the least preferable aspects of the five parameters studied by the faculty

respondents of Institute “D”:

a) Criteria followed for faculty recruitment is uniform

b) Appraisal is given on the basis of past performance and future potential

c) Communication cell for internal and external communication is well equipped

d) Adequate Industry Institute Interaction for the faculty development

e) Faculty exchange programmes for giving exposure to the faculty

Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “E”:

a) Faculty is encouraged to participate in curriculum development

b) R & D support available is sufficient and well equipped for successful

innovation

c) Adequate numbers of PhD holders in each department

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d) Faculty has good number of publications of research papers

e) Seminar Grant (SG) is given to the faculty

f) A secured Wi-Fi facility is well channelized to provide easy access

g) Faculty can visit the library with ease whenever they find time

h) Adequate Industry Institute Interaction for the faculty development

i) Activities are arranged for enhancement of soft and life skills of the faculty

j) Faculty has a conducive atmosphere for the development of the requisite

competencies

k) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

l) Faculty exchange programmes for giving exposure to the faculty

Following are the least preferable aspects of the five parameters studied by the faculty

respondents of Institute “E”:

a) Selection process of faculty is fair and standardized

b) Criteria followed for faculty recruitment is uniform

c) Library is well equipped

d) Parking facility for the faculty vehicle is spacious

e) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

Following are the most preferable aspects of the five parameters studied by the

faculty respondents of Institute “F”:

a) Appraisal is given on the basis of past performance and future potential

b) Parking facility for the faculty vehicle is spacious

c) Adequate Industry Institute Interaction for the faculty development

d) Activities are arranged for enhancement of soft and life skills of the faculty

e) Faculty has a conducive atmosphere for the development of the requisite

competencies

f) Eminent professors, senior industry executives are invited for guest lectures

for interaction with faculty

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g) Institution has a well defined HR policy

h) A well defined Academic Policy is in place

i) Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

j) Sufficient surplus is available for cost recovery as well as for expansion,

quality and efficiency improvement

k) Transparency in working of the institution

l) Communication flow between management and faculty is easier

m) Leadership style exhibited by the Dean and Director is participative

n) Working relationships between the Head of Departments and their faculty

members are synchronized

o) Working relationships between the Dean and the faculty members are good

p) Quality Improvement Programme (QIP) is updated on regular intervals

Following is the least preferable aspect of the five parameters studied by the faculty

respondents of Institute “F”:

a) Faculty is encouraged to participate in curriculum development

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6.1 CONCLUSIONS

The following conclusions can be made on the basis of the statistical analysis of the

students’ and faculty members’ responses:

Students of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied with the

“Selection Process”, “Academic Excellence”, “Infrastructure”, “Personality

Development & Industry Exposure” and “Management & Administration”

parameters. Students of Institute “A”, “B”, “C” and “E” were not satisfied with

the “Placements” parameter. While the “Placements” parameter was perceived to

be satisfactory by the students of Institute “D” and “F”.

Faculty members of Institute “A”, “B”, “C”, “D”, “E” and “F” were not satisfied

with the “Selection Process”, “Infrastructure” and “Management &

Administration” parameters. Faculty members of Institute “B”, “C”, “D”, “E” and

“F” were not satisfied with the “Academic Excellence” parameter. While the

“Academic Excellence” parameter was perceived to be satisfactory by the faculty

members of Institute “A”. Faculty members of Institute “A”, “C”, “D”, “E” and

“F” were not satisfied with the “Personality Development & Industry Exposure”

parameter. While the “Personality Development & Industry Exposure” parameter

was perceived to be satisfactory by the faculty members of Institute “B”.

The student respondents of the six institutions gave the most favorable response

about the following aspects of the six parameters affecting quality of

undergraduate engineering programmes in Haryana:

• A secured Wi-Fi facility for the students

• A well defined Academic Policy is in place

• Adequate activities for enhancement of soft and life skills

• Adequate safety provisions for calamities

• Atmosphere is conducive for the development of the requisite competencies

• Back up electric supply is available when required

• Boys & girls common rooms are in adequate number

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• Class rooms are in sufficient number

• Communication laboratory is modernized and well equipped

• Decisions are taken by the duly constituted BOG / BOS /BOF assisted by

committees and represented by faculty and experts

• Effective teaching-learning process

• Efficient Grievance Redressal Committee

• Eminent professors, senior industry executives are invited for guest lectures

• Enterprise Resource Planning (ERP) Software for Student-Institution-Parent

interaction is well developed

• Entrepreneurship cell conduct sufficient activities

• Facilities of sports are sufficient

• Fee structure helps in the selection process

• Flexible teaching methods

• Fresher party, farewell party, techno fests etc are well organized under

disciplined environment

• Good hands - on skills are imparted during the workshop practices

• Laboratories are well equipped

• LCD projectors equipped classrooms are adequate in number

• Library is well equipped

• Mess food is hygienic and homely

• Parking facility for the students’ vehicle is spacious

• Post, Banking Facility / ATM is located in a centralized location

• Potable water supply and outlets for drinking water at strategic locations

• Presence of guidance, counseling and mentoring activities

• Project work and summer training is attached due importance

• Proper guidance is provided in the live projects for research

• Reading and internet facilities are available in the hostel

• Recreational facilities are satisfactory for the students

• Student exchange programmes are beneficial