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Qualitative Case Study Research, OEIS Technologies, Learning, and Performance. Panel Members: Susan Feather-Gannon Sheila Handy Lynn Bacon Keane Bridget N. O’Connor. Agenda. Why Qualitative research? The Case Studies The research problem Selecting the case Data collection approaches

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Qualitative case study research oeis technologies learning and performance l.jpg

Qualitative Case Study Research, OEIS Technologies, Learning, and Performance

Panel Members:

Susan Feather-Gannon

Sheila Handy

Lynn Bacon Keane

Bridget N. O’Connor


Agenda l.jpg
Agenda Learning, and Performance

  • Why Qualitative research?

  • The Case Studies

    • The research problem

    • Selecting the case

    • Data collection approaches

    • Trustworthiness

    • Data analysis and interpretation

  • Computer tools for data analysis

  • Suggestions for writing up results


The qualitative difference l.jpg
The Qualitative Difference Learning, and Performance

  • “Qualitative approaches attempt to uncover meaning via analysis of non-numerical data that come from multiple sources of information including interviews, observations, audio-visual materials, and existing and researcher-developed documents.”

  • Movie vs. snapshot

O’Connor, B. N. (2002). Qualitative case study research in business education. The Delta Pi Epsilon Journal, 44(2), 80.


Case study l.jpg
Case Study Learning, and Performance

  • “An exploration of a ‘bounded system’ or a case (or multiple cases) over time through detailed, in-depth data collection involving multiple sources of information rich in context.”

Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage, 61.


Why qualitative case study l.jpg
Why Qualitative Case Study? Learning, and Performance

  • Complex problems

    • OEIS technologies

    • Learning

      • Group

      • Individual

    • Performance

    • Environment

      • Corporate

      • Academic


The case studies l.jpg
The Case Studies Learning, and Performance

  • Caouette, M. J. (1995). The impact of group support systems on corporate teams’ stages of development. Unpublished doctoral dissertation, NYU.

  • Feather, S. R. (1998). The impact of group support systems on the stages of development of groups engaged in collaborative learning. Unpublished doctoral dissertation, NYU.

  • O’Connor, B. N. (1999). A groupware-based peer review process: An exploratory case study. Informing Science, (2)1, 11-18.

  • Handy, S. A. (2002). An exploratory study of learner use of a computerized accounting tutorial. Unpublished doctoral dissertation, NYU.

  • Keane, L. B. (In process). A technology-supported academic community of practice: A case study. Unpublished doctoral dissertation, NYU.


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Establishing the research problem Learning, and Performance

  • What to study and why?

  • Based in the literature

  • New research is needed

    • Conflicting evidence

    • A knowledge void

    • Incomplete knowledge


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Selecting the case Learning, and Performance

  • Unit of analysis

    • The individual

    • A group

    • An organization

  • Opportunistic


Data collection techniques l.jpg

Interviews Learning, and Performance

One-on-one

Focus groups

Observations

Analytic memos

Guided observations

Think aloud protocol

Media

Asynchronous data

Email

Discussion forums

Audio tapes

Video tapes

Data collection techniques


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Trustworthiness strategies Learning, and Performance

  • Member checks

  • Peer review

  • Multiple observers

  • Multiple data sources

  • External audit


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Data analysis and interpretation Learning, and Performance

  • Describe the case and its setting in detail

  • Stake (1995) suggests four forms

    • Categorical aggregation

    • Direct interpretation

    • Establish patterns

    • Develop naturalistic generalizations

  • Researcher-developed generalizations

    • Relate back to literature review and research questions

Stake, R. E. (1995). The art of case study research. Thousand Oaks, CA: Sage.


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Computer tools for qualitative data analysis Learning, and Performance

  • Text retrievers: Metamorph

  • Text-based manager: askSam

  • Code and retrieve: The Ethnograph

  • Code-based theory builders: NUD*IST

  • Conceptual network builders: Inspiration

Weitzman, E. A., & Miles, M. B. (1995). Computer programs for qualitative data analysis. Thousand Oaks, CA: Sage.


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Suggestions for writing up results Learning, and Performance

  • Begin with a story or first-person narratives

  • Describe all data and procedures, processes, and tools used

  • Discuss results related to literature

  • Recommend future research topics and investigative methods


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Questions? Learning, and Performance

Susan Feather-Gannon: [email protected]

Sheila Handy: [email protected]

Lynn Bacon Keane: [email protected]

Bridget N. O’Connor: [email protected]


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