
A Step by Step Guide to Qualitative Data Coding
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....
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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. 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, coverinEthical and effective AI usePrompting strategies for better outputsHow to create your own AI tool for data analysis
Spesifikasjon
| Produkt | |
|---|---|
| Produktnavn | A Step by Step Guide to Qualitative Data Coding |
| book typ | boker, fagboker, samfunnsvitenskap, medie og kommunikasjon |
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