Applied Thematic Analysis
eBook - PDF

Applied Thematic Analysis

  1. 321 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applied Thematic Analysis

About this book

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

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Yes, you can access Applied Thematic Analysis by Greg Guest,Kathleen M. MacQueen,Emily E. Namey in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. COVER
  2. TITLE PAGE
  3. COPYRIGHT PAGE
  4. BRIEF CONTENTS
  5. DETAILED CONTENTS
  6. PREFACE
  7. ACKNOWLEDGMENTS
  8. ABOUT THE AUTHORS
  9. CHAPTER 1 - INTRODUCTION TO APPLIED THEMATIC ANALYSIS
  10. CHAPTER 2 - PLANNING AND PREPARING THE ANALYSIS
  11. CHAPTER 3 - THEMES AND CODES
  12. CHAPTER 4 - VALIDITY AND RELIABILITY (CREDIBILITY AND DEPENDABILITY) IN QUALITATIVE RESEARCH AND DATA ANALYSIS
  13. CHAPTER 5 - SUPPLEMENTAL ANALYTIC TECHNIQUES
  14. CHAPTER 6 - DATA REDUCTION TECHNIQUES
  15. CHAPTER 7 - COMPARING THEMATIC DATA
  16. CHAPTER 8 - INTEGRATING QUALITATIVE AND QUANTITATIVE DATA
  17. CHAPTER 9 - CHOOSING QUALITATIVE DATA ANALYSIS SOFTWARE
  18. CHAPTER 10 - WRITING UP THEMATIC ANALYSES
  19. GLOSSARY
  20. AUTHOR INDEX
  21. SUBJECT INDEX