A Step-by-Step Guide to Qualitative Data Coding

2. Auflage 2026
ISBN: 978-1-032-91612-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 460 Seiten, Format (B × H): 174 mm x 246 mm

A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings.

The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to:

- Analyze qualitative data and present their findings

- Select an appropriate qualitative analysis tool

-  Decide on the right qualitative coding and categorization strategies for their analysis

- Develop relationships among categories/themes

- Choose a suitable format for the presentation of the findings

Ideal for qualitative research instructors, students, and social or health science professionals, this guide helps you combine proven methods with emerging AI capabilities.

New to this edition:

- Full-color illustrations for greater clarity and engagement

- Additional visualizations to help you learn and apply coding techniques

- A new chapter on AI-assisted analysis, covering:

- Ethical and effective AI use

- Prompting strategies for better outputs

- How to create your own AI tool for data analysis

Zielgruppe

Postgraduate and Undergraduate Core

Autoren/Hrsg.

Adu, Philip

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

1. Introduction to Qualitative Data Analysis  2. Review of Qualitative Approaches and their Data Analysis Methods  3. Understanding the Art of Coding Qualitative Data  4. Preparing Data to Code  5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions  6. Documenting Personal Reflections and Analytical Process  7. Manually Assigning Codes to Data  8. Developing Categories and Themes  9. Connecting Themes and Developing Tables and Diagrams  10. Using QDA Miner Lite to Analyze Qualitative Data  11. Using NVivo 12 to Analyze Qualitative Data  12. Using Dedoose to Analyze Qualitative Data  13. Presenting Qualitative Findings  14. Ensuring Credibility of the Analysis Process and Findings  15. Working with AI Models for Qualitative Data Analysis

Über Autor(innen)

Dr. Philip Adu is the founder and methodology expert at the Center for Research Methods Consulting, LLC. He has provided research methodology services to clients for over ten years and has facilitated hundreds of workshops with graduate students, program evaluators, faculty members, and practitioners. He has expertise in using qualitative data analysis software (QDAS) and AI tools to conduct qualitative analyses.