Summary
Contents
Subject index
After collecting qualitative data from in-depth interviews, focus groups, or field observations, students and researchers often struggle to make sense of it. This step-by-step guide draws on the authors' many years of experience carrying out qualitative research and conducting trainings on the subject. Their book describes how to analyze qualitative data in a systematic and rigorous way. The authors introduce and outline applied thematic analysis, an inductive approach that draws on established and innovative theme-based techniques suited to the applied research context. Chapters follow the sequence of activities in the analysis process and also include discussions of mixed methods, choosing the most appropriate software, and how to write up and present the results.
“This book presents what all of the books I've tried to use in the past have failed to present—how to analyze qualitative data.”—Catherine C. Schifter, Temple University
“This book does a wonderful job of explaining how important thematic analysis is for producing good research, and it uses rich and detailed examples to do it.”—Matthew Hartley, University of Pennsylvania
Data Reduction Techniques
Data Reduction Techniques
Learning Objectives
After reading this chapter, you should be able to:
- Summarize qualitative data using code summary tables and matrices
- Identify when, how, and why quantification of qualitative data is appropriate
- Appropriately summarize qualitative samples and coded data using simple frequencies
- Use simple Boolean searches and matrices to explore the co-occurrence of themes and source characteristics
- Identify research questions where the use of matrix algebra for cluster analysis is appropriate
Data reduction in the context of applied thematic analysis can take many forms, from simply limiting the data set to those items relevant to a particular analysis, to preparation of qualitative code summaries and matrices, to advanced cluster analysis or graphing techniques based on code frequencies. Like coding, data reduction is an integral part of the iterative qualitative data ...
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