A practical guide to collaborative qualitative data analysis.
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Michael Hemphill, Assistant Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: The purpose of this article is to provide an overview of a structured, rigorous approach to collaborative qualitative analysis while attending to challenges associated with working in team environments. The method is rooted in qualitative data analysis literature related to thematic analysis, as well as the constant comparative method. It seeks to capitalize on the benefits of coordinating qualitative data analysis in groups, while controlling for some of the challenges introduced when working with multiple analysts. The method includes the following six phases: (a) preliminary organization and planning, (b) open and axial coding, (c) development of a preliminary codebook, (d) pilot testing the codebook, (e) the final coding process, and (f) reviewing the codebook and finalizing themes. These phases are supported by strategies to enhance trustworthiness, such as (a) peer debriefing, (b) researcher and data triangulation, (c) an audit trail and researcher journal, and (d) a search for negative cases.
A practical guide to collaborative qualitative data analysis.
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Created on 10/11/2020
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Additional Information
- Publication
- Journal of Teaching in Physical Education, 37(2), 225–231.
- Language: English
- Date: 2018
- Keywords
- multiple analysts, qualitative methods, researcher training, trustworthiness