Applied Thematic Analysis

Greg Guest - FHI 360
Applied Thematic Analysis
November 2011 | 320 pages | Sage US
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Description

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



Contents

Chapter 1. Introduction to Applied Thematic Analysis

Chapter 1. Introduction to Applied Thematic Analysis

Chapter 2. Planning and Preparing the Analysis

Chapter 2. Planning and Preparing the Analysis

Chapter 3. Themes and Codes

Chapter 3. Themes and Codes

Chapter 4. Validity and Reliability (Credibility and Dependability) in Qualitative Research and Data Analysis

Chapter 4. Validity and Reliability (Credibility and Dependability) in Qualitative Research and Data Analysis

Chapter 5. Supplemental Analytic Techniques

Chapter 5. Supplemental Analytic Techniques

Chapter 6. Data Reduction Techniques

Chapter 6. Data Reduction Techniques

Chapter 7. Comparing Thematic Data

Chapter 7. Comparing Thematic Data

Chapter 8. Integrating Qualitative and Quantitative Data

Chapter 8. Integrating Qualitative and Quantitative Data

Chapter 9. Choosing Qualitative Data Analysis Software

Chapter 9. Choosing Qualitative Data Analysis Software

Chapter 10. Writing Up Thematic Analyses

Chapter 10. Writing Up Thematic Analyses

Description

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



Contents

Chapter 1. Introduction to Applied Thematic Analysis

Chapter 1. Introduction to Applied Thematic Analysis

Chapter 2. Planning and Preparing the Analysis

Chapter 2. Planning and Preparing the Analysis

Chapter 3. Themes and Codes

Chapter 3. Themes and Codes

Chapter 4. Validity and Reliability (Credibility and Dependability) in Qualitative Research and Data Analysis

Chapter 4. Validity and Reliability (Credibility and Dependability) in Qualitative Research and Data Analysis

Chapter 5. Supplemental Analytic Techniques

Chapter 5. Supplemental Analytic Techniques

Chapter 6. Data Reduction Techniques

Chapter 6. Data Reduction Techniques

Chapter 7. Comparing Thematic Data

Chapter 7. Comparing Thematic Data

Chapter 8. Integrating Qualitative and Quantitative Data

Chapter 8. Integrating Qualitative and Quantitative Data

Chapter 9. Choosing Qualitative Data Analysis Software

Chapter 9. Choosing Qualitative Data Analysis Software

Chapter 10. Writing Up Thematic Analyses

Chapter 10. Writing Up Thematic Analyses

November 2011 | 320 pages | Sage US

Format Published Date ISBN Price

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




Table Of Contents:

  • Chapter 1. Introduction to Applied Thematic Analysis
  • Chapter 2. Planning and Preparing the Analysis
  • Chapter 3. Themes and Codes
  • Chapter 4. Validity and Reliability (Credibility and Dependability) in Qualitative Research and Data Analysis
  • Chapter 5. Supplemental Analytic Techniques
  • Chapter 6. Data Reduction Techniques
  • Chapter 7. Comparing Thematic Data
  • Chapter 8. Integrating Qualitative and Quantitative Data
  • Chapter 9. Choosing Qualitative Data Analysis Software
  • Chapter 10. Writing Up Thematic Analyses

Recent Product Reviews:

Deals with topic in a clear and easily understoood manner. Guides the students through the various stages and provides thought provoking discussion at intervals.
Dr Anne Mills, other, Bournemouth University
Excellent book, but I couldn't fit it into my existing syllabus.
Professor Susan Hawes, Clinical Psychology Dept, Antioch New England Grad Sch
I really think that this is the book that was very much needed. Thematic analysis in my experience is one of the most popular techniques that students use in their dissertations, but there has been little written about methodological foundations and the actual process and procedures of this kind of analysis. I think this book fills this gap very well and provides description of actual analytical techniques to make the process more structured and reliable. The book also incorporates examples from NVivo which is a very popular software with many institutions at the moment. The second section is about quantifying qualitative findings – and integrating quantitative and qualitative data. I find the description interesting and there are a couple of very useful tables and classifications of how to do it which no doubt will be useful for students. Finally the section on writing up findings is really useful and I think can be used as a teaching material even if one is not using thematic analysis, because students always have difficulties when they are trying to write up their findings chapters. Overall the book is very good and I would definitely recommend it to students on Dissertation Writing modules and/or PG Research Methods
Dr Maria Adamson, Business School, University of East London
Excellent text - definitely fills a gap for this type of data analysis
Dr Anne Mills, other, Bournemouth University
One of the best books ever written on thematic analysis. The book gives a good grasp on what thematic analysis is all about. Strongly recommended for masters and PhD students.
Dr Fawaz Baddar, Marketing , IESEG School of Management

Recommendations