A Step-by-Step Guide to Qualitative Data Coding
- ISBN-10
- 1351044494
- ISBN-13
- 9781351044493
- Category
- Psychology
- Pages
- 416
- Language
- English
- Published
- 2019-04-05
- Publisher
- Routledge
- Author
- Philip Adu
Description
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.
Get the book
Other editions
Similar books
-
A Step-by-step Guide to Qualitative Data Coding
By Philip AduThis book provides an easy-to-follow, step-by-step guide to those new to qualitative data coding, through the use of specific, worked examples.
-
Using Software in Qualitative Research: A Step-by-Step Guide
By Ann Lewins, Christina SilverThe book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process.
-
The Coding Manual for Qualitative Researchers
By Johnny SaldanaA unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences.
-
Qualitative Data: An Introduction to Coding and Analysis
By Carl Auerbach, Louise B. SilversteinThe volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.
-
Successful Qualitative Research: A Practical Guide for Beginners
By Virginia Braun, Victoria Clarke*Shortlisted for the BPS Book Award 2014 in the Textbook Category* *Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)* Successful Qualitative Research: A Practical Guide for ...
-
Qualitative Data Analysis with NVivo
By Patricia Bazeley, Kristi JacksonAn insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.
-
Qualitative Content Analysis: A Step-by-Step Guide
By Philipp MayringIn eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data.
-
Collecting Qualitative Data: A Field Manual for Applied Research
By Greg Guest, Emily E. Namey, Marilyn L. MitchellHealth Care Women International, 33(1), 3–18. Leech, E. (1954). Political systems of highland Burma: A study of Kachin social structure. Cambridge, MA: Harvard University Press. McIntyre, A. (2008). Participatory action research.
-
Analyzing Qualitative Data
By Graham R GibbsThis book tackles the challenges of how to make sense of qualitative data.
-
Qualitative Content Analysis in Practice
By Margrit SchreierDesigned for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.