Applied Thematic Analysis - Hardcover

“There are few qualitative texts that really present a step-by-step process of how to analyze qualitative data in a systematic and rigorous way. It is very well written, students will find this text helpful. The examples are great.” (Howard K. Butcher)

“I like that it is practice focused. The real world examples are key and the real world problems make the text more useful. The exercises are nice to pick from for in-class activities or small projects.” (Natoshia M. Askelson)

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 the description of actual analytical techniques to make the process more structured and rigorous. 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. 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. Overall the book is very good and I would definitely recommend it to students on Dissertation Writing modules and/or PG Research Methods. (Maria Karepova)

This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups, relating predominantly to applied qualitative studies. The book covers all aspects of the qualitative data analysis process, employing a phenomenological approach which has a primary aim of describing the experiences and perceptions of research participants. Similar to Grounded Theory, the authors' approach is inductive, content-driven, and searches for themes within textual data.