Thinking Thematically in Qualitative Data Analysis
David L. Morgan(Author)
SAGE Publications Inc (Publisher)
1st Edition
Will be published approx. on 14. December 2026
Book
Paperback/Softback
128 pages
979-8-3488-4804-0 (ISBN)
Description
Thinking Thematically in Qualitative Data Analysis by David Morgan shows why themes matter and how to analyze and write up data thematically-combining clarity with practical guidance for researchers and students.
Reviews / Votes
Morgan has crafted a wonderfully useful guide on using thematic approaches to qualitative research. This book pulls together many approaches to utilizing theme-based analysis and explains how and when to use them. Excellent, real-world examples illuminate how to use the approaches, and the author bridges these different approaches to the construction of theory from research. An important book for years to come. -- Robert David Majzler This is a great text to help students understand qualitative data analysis. It is easy to follow with lots of applicable examples. In addition to describing the process of qualitative data analysis, the author discusses what to include in the different sections of a paper. -- Christina Akbari-Davis, PhD, CCC-SLP Dr. Morgan's Thinking Thematically in Qualitative Data Analysis provides a unique and yet often overlooked view of "theming" in qualitative research. This book has the great merit of clarifying "themes" as a core feature of qualitative inquiry and moving it forward toward theories. This book should be handy for qualitative researchers, particularly doctoral students, in the last phase of their dissertation writing. -- Jean-Pierre K. BongilaMore details
Series
Edition
First Edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 216 mm
Width: 140 mm
ISBN-13
979-8-3488-4804-0 (9798348848040)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
David L. Morgan received his PhD in sociology from the University of Michigan, and is currently an emeritus professor in the Department of Sociology at Portland State University. He is an inter-disciplinary research methodologist, working in both qualitative research and mixed methods research. In addition to artificial intelligence, his research interests include focus groups and mixed methods research. He is the author of more than fifty peer-reviewed articles and author or editor of nine books on research methods; he is currently the series editor for the Qualitative Research Methods Series from Sage (the "little blue books").
Content
Series Editor Introduction
Preface
Acknowledgements
About the Authors
Chapter 1: What is a Theme
Developing a Definition of Themes
Things That Are Not Themes
The Practical Value of Thinking Thematically
Conclusions
Chapter 2: Conceptualizing Theme-Based Analysis
Content Analysis and Theme-Based Analysis
Conclusions
Chapter 3: Thematic Analysis
What has Changed Since 2006?
Six Phases in Reflective Thematic Analysis
Conclusions
Chapter 4: Iterative Thematic Inquiry
Four Phases in Iterative Thematic Inquiry (ABLE)
Conclusions
Chapter 5: Writing Up Theme-Based Analyses
Start by Writing the Results Section First
The Basic Format for the Results Section
Using Quotations in the Results Section
The Discussion Section
Conclusions
Chapter 6: Themes, Theories, and Models
Model Building
Conclusions
Chapter 7: Conclusions
Bibliography
Preface
Acknowledgements
About the Authors
Chapter 1: What is a Theme
Developing a Definition of Themes
Things That Are Not Themes
The Practical Value of Thinking Thematically
Conclusions
Chapter 2: Conceptualizing Theme-Based Analysis
Content Analysis and Theme-Based Analysis
Conclusions
Chapter 3: Thematic Analysis
What has Changed Since 2006?
Six Phases in Reflective Thematic Analysis
Conclusions
Chapter 4: Iterative Thematic Inquiry
Four Phases in Iterative Thematic Inquiry (ABLE)
Conclusions
Chapter 5: Writing Up Theme-Based Analyses
Start by Writing the Results Section First
The Basic Format for the Results Section
Using Quotations in the Results Section
The Discussion Section
Conclusions
Chapter 6: Themes, Theories, and Models
Model Building
Conclusions
Chapter 7: Conclusions
Bibliography