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The Coding Manual for Qualitative Researchers
Fifth Edition
- Johnny Saldana - Arizona State University, USA
Additional resources:
March 2025 | 504 pages | SAGE Publications Ltd
Unlock the full potential of your qualitative research projects with this invaluable manual from world-renowned authority Johnny Saldaña. This essential guide delves into the latest advancements in coding, including the integration of AI tools like ChatGPT-4, empowering researchers to enhance their data analysis processes and outcomes.
This clearly updated edition offers:
· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.
· Global Appeal: Designed for an international readership, with inclusive data and real-world examples.
· Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness.
· Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.
Ideal for students, researchers, and professionals in education, the social sciences, and beyond, this manual with its’ accompanying online resources is your go-to reference for mastering qualitative coding and data analysis in the AI era.
This clearly updated edition offers:
· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.
· Global Appeal: Designed for an international readership, with inclusive data and real-world examples.
· Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness.
· Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.
Ideal for students, researchers, and professionals in education, the social sciences, and beyond, this manual with its’ accompanying online resources is your go-to reference for mastering qualitative coding and data analysis in the AI era.
Part One - Coding Foundations
1 An Introduction to Codes and Coding
2 Fundamental Coding Methods and Techniques
3 Writing Analytic Memos about Narrative and Visual Data
Part Two - First Cycle Coding Methods
4 Selecting First Cycle Coding Methods
5 Grammatical Coding Methods
6 Elemental Coding Methods
7 Affective Coding Methods
8 Literary and Language Coding Methods
9 Exploratory Coding Methods
10 Procedural Coding Methods
11 Methods of Themeing the Data
Part Three - Second Cycle Coding Methods
12 Transitioning from First to Second Cycle Coding Methods
13 Second Cycle Grounded Theory Coding Methods
14 Second Cycle Cumulative Coding Methods
15 After First and Second Cycle Coding Methods
Supplements
The book provides a nice and structured approach on how our students can work with coding their data, especially that related to their master's thesis projects.
In my opinion, this book can work as an effective manual for the students, with at least one more book we have on the reading list for them. Especially for those having to handle qualitative data only (interviews) this book can be a great tool in their efforts to structure a solid research approach
International Institute for Industrial Environmental Economics , Lund University
April 18, 2025
Sample Materials & Chapters
Sample Chapter 1 - An Introduction to Codes and Coding
Writing Analytic Memos About Narrative and Visual Data
