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
Integrating Qualitative and Quantitative Data
Integrating Qualitative and Quantitative Data
Learning Objectives
Upon finishing this chapter, readers should be able to:
- Define “mixed methods research”
- Describe the major mixed methods designs
- Understand and reproduce basic mixed methods notation
- Effectively plan and execute a mixed methods analysis that includes thematic data
Mixed Methods Research
The practice of mixing data collection methods and data types has been around for centuries. In the social sciences, a mixed method approach has been used in field research, particularly anthropology, for more than 100 years. Mixed methods as a formal subfield however, has only been around since the late 1980s when researchers began to operationalize data integration and develop mixed methods design typologies (e.g., Greene, Caracelli, & Graham, 1989; Morse, 1991). In the two decades that have ensued, mixed methods research has become ...
- Loading...
