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:
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:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032916125
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Paperback. Etat : New. 2nd. 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. N° de réf. du vendeur LU-9781032916125
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