Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative...

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Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental research Paradigm: a framework for looking at and understanding the world

Transcript of Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative...

Page 1: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Paradigmatic issues

• Positivist and critical/interpretive research• Qualitative and quantitative research• Induction and deduction• Experimental and non-experimental

research

Paradigm: a framework for looking at and understanding the world

Page 2: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Research Paradigms

• Provide guidelines and principles concerning the way research is conducted

• In the social sciences, rival, and sometimes complimentary paradigms coexist

• Reflected in competing or alternative approaches

• The two dominant paradigms are the positivist and interpretive approaches

Page 3: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Positivist and critical/interpretive research

• Positivist– Universal truths and laws– Researcher seeks objectivity/detachment– World to be researched is 'external'– Deductive, quantitative methods common - similar to

natural science model

• Critical/interpretive– Multiples realities– Researcher accepts subjectivity– Researcher engages with research subject– Inductive, qualitative methods common

Page 4: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Qualitative and quantitative research• Quantitative– Involves numerical data– Often involves large numbers of cases– Seeks to generalise to whole population– Use of questionnaires, observations, secondary

sources (e.g. sales date)

Page 5: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Qualitative and quantitative research• Qualitative– Generally does not involve numerical data– Generally involves small numbers of cases– Findings typically not generalisable – Informal, unstructured in-depth interviews,

participant observation (e.g. diaries)

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Inference – Induction & Deduction

• Induction – “The process of drawing a conclusion in an empirical study by observing and generalising from a set of data.”

• Deduction – “The process of drawing conclusions from other propositions or from data on the basis of logical reasoning.”

Page 7: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Induction and deduction• Induction begins at A and moves to B then to point C• Deduction begins at C and moves to A then B

Page 8: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Experimental and non-experimental research

• Experimental – Research conducted in a controlled environment (eg.

laboratory)– Researcher has control over a limited number of

variables

• Non-experimental– Research conducted in a 'real world' environment– Researcher has no control over many of the variables

involved– Focus on relationships rather than causality

Page 9: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Data Issues• Primary and secondary data• Self-reported and observed data

Page 10: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Primary and secondary data• Primary– Data collected for the purposes of the research in

hand– Researcher is primary user

• Secondary– Data already collected by other researchers for

other projects or for non-research (eg. administrative) purposes

– Researcher is secondary user.

Page 11: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Self-reported and observed data• Self-reported data– Research based on information provided by

subjects - eg. in an interview– Includes self-reports of past, recent and

intended behaviour (eg. Surveys, interviews)

• Issue– Dependent on people responding honestly (and

being able to do so)

Page 12: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Self-reported and observed data

• Observed data– Research is based on observation of subjects'

behaviour (eg. use of record sheets, financial transaction)

• Issue– Dependent on being able to observe area of

interest

Page 13: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Range of research approaches• Scholarship – reading and reflecting• 'Just thinking‘ • Using the existing literature – see Chapter 4• Using secondary data – see Chapters 5 & 12• Observation – see Chapter 6• Qualitative methods – see Chapters 7 & 15• Questionnaire-based surveys – see Chapters 8 &

13• The case study method – see Chapter 9• Experimental methods – see Chapter 10• Cross-cutting/subsidiary techniques – see below

Page 14: Paradigmatic issues Positivist and critical/interpretive research Qualitative and quantitative research Induction and deduction Experimental and non-experimental.

Cross-cutting/subsidiary techniques• Textual analysis – analysis of print and audio-visual materials• Longitudinal studies – replication of surveys etc. with same

subjects over time• Panel surveys – a recruited sample responds to several surveys• Projective techniques – ‘what if’ questions• Use of scales – Likert-type scales re-used by a number of

researchers• Meta-analysis – analysis of many studies on a single topic and

with similar format conclusions (eg. correlation)• Action research – research committed to changing the world• Historical research – typically using documentary resources• Media-sponsored surveys – surveys responded to by readers/

viewers• Delphi technique – consolidation of views of experts

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Triangulation• Use of more than one method to focus on the

same problem/issue/question– Use of both qualitative and quantitative methods at the

same time - eg. Survey methods and Case study– Results of one method are essential for planning the next

method - eg. Exploratory Pilot study precedes Experimental design

• The methods used are often complementary (e.g. the weaknesses in one are offset by the strengths in the other)

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Choosing a method• Considerations in choosing a method– The research question or hypothesis– Previous research– Data availability/access– Resources– Time– Validity, reliability and generalisability– Ethics – Uses/users of the findings