Articles liés à A Step-by-Step Guide to Qualitative Data Coding
Synopsis
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
It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Philip Adu is a Methodology Expert at The Chicago School of Professional Psychology (TCSPP). He has spent over six years at TCSPP providing methodology support to doctoral students. He has designed and taught numerous research method courses. He is skilled in demystifying the qualitative analysis process, including how to use qualitative data analysis software (QDAS).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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A Step-by-Step Guide to Qualitative Data Coding
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ISBN 13 : 9781138486874
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A Step-by-Step Guide to Qualitative Data Coding
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 toolDecide on the right qualitative coding and categorization strategies for their analysisDevelop relationships among categories/themesChoose a suitable format for the presentation of the findingsIt is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or whoplan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields. 446 pp. Englisch. N° de réf. du vendeur 9781138486874
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A Step-by-Step Guide to Qualitative Data Coding
Edité par
Taylor & Francis Ltd, 2019
ISBN 10 : 1138486876
ISBN 13 : 9781138486874
Neuf
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Edition originale
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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Etat : New. 2019. 1st Edition. Paperback. . . . . . N° de réf. du vendeur V9781138486874
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