Philip Adu

A Step-by-Step Guide to Qualitative Data Coding

• Broschiertes Buch

Produktbeschreibung

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: 1. Full-color illustrations for greater clarity and engagement 2. Additional visualizations to help you learn and apply coding techniques 3. 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

Produktdetails

• Verlag: Taylor & Francis Ltd
• 2. Auflage
• Seitenzahl: 460
• Erscheinungstermin: 4. März 2026
• Englisch
• Abmessung: 246mm x 174mm
• ISBN-13: 9781032916125
• ISBN-10: 1032916125
• Artikelnr.: 75429620

Autorenporträt

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.

Inhaltsangabe

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

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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
Appendix