- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Step-by-Step Guide to Qualitative Data Coding
About this book
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
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Information
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- List of boxes
- List of exhibits
- List of figures
- List of Illustration
- List of tables
- Acknowledgment
- 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 the 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 15 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
- Appendix A
- Appendix B
- Index
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