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A Step-by-Step Guide to Qualitative Data Coding
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A Step-by-Step Guide to Qualitative Data Coding

Book Details

Format Paperback / Softback
ISBN-10 1032916125
ISBN-13 9781032916125
Publisher Taylor & Francis Ltd
Imprint Routledge
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 11th, 2026
Print length 532 Pages
Weight 1,092 grams
Dimensions 24.50 x 17.60 x 3.00 cms
Ksh 10,200.00
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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.
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 findingsSelect an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysisDevelop relationships among categories/themesChoose a suitable format for the presentation of the findingsIdeal 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 engagementAdditional visualizations to help you learn and apply coding techniquesA new chapter on AI-assisted analysis, covering:Ethical and effective AI usePrompting strategies for better outputsHow to create your own AI tool for data analysis

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