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A Step-by-Step Guide to Qualitative Data Coding
Not yet published
Expected 11 Mar 26A 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
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
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, Ethical and effective AI use Prompting strategies for better outputs How to create your own AI tool for data analysis
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
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
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, Ethical and effective AI use Prompting strategies for better outputs How to create your own AI tool for data analysis
564 pages, Kindle Edition
Expected publication March 11, 2026
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