Description
Taylor & Francis Ltd A Step-By-Step Guide To Qualitative Data Coding 2019 Edition by Philip Adu
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 who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields. 1. Introduction to Qualitative Data Analysis2. Review of Qualitative Approaches and their Data Analysis Methods3. Understanding the Art of Coding Qualitative Data4. Preparing Data to Code5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions6. Documenting Personal Reflections and Analytical Process7. Manually Assigning Codes to Data8. Developing Categories and Themes9. Connecting Themes and Developing Tables and Diagrams10. Using QDA Miner Lite to Analyze Qualitative Data11. Using NVivo 12 to Analyze Qualitative Data12. Using Dedoose to Analyze Qualitative Data13. Presenting Qualitative Findings14. Ensuring Credibility of the Analysis Process and FindingsAppendix