L643: Evaluation of Information Systems Week 11: March 17, 2008.

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L643: Evaluation of Information Systems Week 11: March 17, 2008

Transcript of L643: Evaluation of Information Systems Week 11: March 17, 2008.

Page 1: L643: Evaluation of Information Systems Week 11: March 17, 2008.

L643: Evaluation of Information Systems

Week 11: March 17, 2008

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Measurement Instrument

It is not necessary to use the instruments discussed in class

However, it would be helpful to consider the existing instruments Review the ones we discussed Search the IS World survey instrument database:

http://www.isworld.org/surveyinstruments/surveyinstruments.htm

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Pilot Testing of Instruments

Instrument providers: Give instructions to the testers

E.g., their roles, actions, etc Provide your instrument Provide a feedback sheet/ or ask a list of questions

afterwards (debriefing) Testers

Try to answer the questions Ask questions when instructions are not clear Be honest and sincere Provide constructive feedback

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Pilot Testing of Instruments

First Pilot Test Session

Second Pilot Test Session

Unicoop (5) Zipcar (5)

Need to send an elec copy to [email protected] and cc’ the msg to [email protected]

Library Thing (3) Evergreen (4)

John Fluevog Boots & Shoes (4)

Quadrem (4)

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Announcements

The Evaluation Design Proposal, Measurement Instrument, and Instrument Memo will be due at 5pm on Thursday, March 26th, instead of next Monday

Any group will need a computer lab?

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Evaluation Project ProcessProblem/Purpose

Hypotheses or Questions

Definitions

Literature Review

Sample

Instrumentation

Procedures/Design

Data Collection & Analysis

Recommendation

Pilot (test)

See also UCLA’s report

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Survey Research (Babbie, 2004)

Choose appropriate question forms Open-ended questions (qualitative) Closed-ended questions (quantitative)

The response categories provided should be exhaustive The answer categories must be mutually exclusive

When would be appropriate to use open-ended Qs? When would be appropriate to use closed-ended

Qs?

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Survey Research (Babbie, 2004)

Questions: Avoid asking multiple questions in a single item Qs must be relevant Qs must be concise Try to avoid confusions/ biased items & terms

Respondents: whether they are capable of answering the

questions must be willing to answer

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Survey Research (Babbie, 2004)

Format Clear instructions Easy to understand Ordering items Pre-testing

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Survey Research

Types of surveys Telephone surveys

http://www.pewinternet.org/reports.asp (Pew Internet & American Life)

Mail questionnaire Low response rates How to increase response rates?

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Survey Research (Babbie, 2004)

Administration of survey: Self-administration:

Via snail mail Via Web (e.g., Survey Monkey)

Interview survey Telephone survey

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Assessing Program Impact: Alternative Designs (Rossi, et al., 2004)

Bias in estimating program effects Selection bias (nonequivalent comparison design)

Targets drop out Targets refuse to participate

Environmental trends Interfering events, e.g., natural disaster Maturation – people grow

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Risks of Quantitative Studies (Nielsen, 2004)

List 3 major problems of quantitative studies Considering these problems, how would you

treat most of the IS research based on quantitative studies? (disregard them or accept as it is?)

Can you think of any situations in which quantitative studies would be useful?

For your group project, what type of research design would be useful? Why?

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Quality and Effectiveness in Web-based Customer Support Systems (Negash, et al., 2003)

Information Quality

•Informativeness

•entertainment

System Quality

•Interactivity

•AccessService Quality

•Tangible

•Reliability

•Assurance

•Responsiveness

•Empathy

Effectiveness

•User satisfaction

H1

H2

H3

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Quality and Effectiveness in Web-based Customer Support Systems (Negash, et al., 2003)

SERVQUAL: Tangibles: physical features of the system Reliability: the system’s consistency of

performance and dependability Responsiveness: readiness of the system to

provide service Assurance: knowledge & courtesy expressed in

the system Empathy: the care and individualized attention

http://www.12manage.com/methods_zeithaml_servqual.html

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Quality and Effectiveness in Web-based Customer Support Systems (Negash, et al., 2003)

Information Quality

•Informativeness

•entertainment

System Quality

•Interactivity

•AccessService Quality

•Tangible

•Reliability

•Assurance

•Responsiveness

•Empathy

Effectiveness

•User satisfaction

H1

H2

H3-.051

.449

.348

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Zones of Tolerance (Kettinger & Lee, 2005)

Perceived Service

Adequate Service

Desired Service

Expected Service

SERVQUAL ZOT SERVQUAL

Minimum service level

Desired service level

Perceived service level

Perceived adequacy

Perceived superiority

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E-service quality in libraries (Hernon & Calvert, 2005)

Adaptations of SERVQUAL to include e-SERVQUAL instrument

SERVQUAL focuses on 5 dimensions: Assurance Empathy Reliability Responsiveness Tangibles

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E-service quality in libraries (Hernon & Calvert, 2005)

LibQUAL focuses on 4 dimensions: Access to information Affect of service Library as place Personal control

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E-service quality in libraries (Hernon & Calvert, 2005)

Customization/personalization Importance #4 Unimportance #2

Security/privacy/trust Importance #5 Unimportance #3

Web site aesthetics Importance #10 Unimportance #1

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E-service quality in libraries (Hernon & Calvert, 2005)

ideal

perceived

Retain

Improve

Reallocate

resources

Revisit

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Choosing Measures to Evaluate … (Ryan, et al., 2001)

Are you measuring something simply because you can? Consider cost & time Just why you are measuring something

Pre-test the measure’s proposed definition Training the relevant staff (see the 5 Qs on p.

123)

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Choosing Measures to Evaluate … (Ryan, et al., 2001)

Data collection methodologies: Qualitative techniques:

Case study Content analysis Policy analysis Focus groups Interviews

Quantitative techniques: In-house, mail or electronic surveys

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Choosing Measures to Evaluate … (Ryan, et al., 2001)

Data collection methodologies: Automated techniques:

Pop-up surveys Network traffic measures Web log file analysis

Are there confidentiality and privacy concerns?

How can the burden of data collection be balanced ore reduced?