Philip Adu

A Step-by-Step Guide to Qualitative Data Coding

• Gebundenes Buch

Produktbeschreibung

This book provides an easy-to-follow, step-by-step guide to those new to qualitative data coding, through the use of specific, worked examples. It covers creating codes, developing categories and themes, and determining the connections amongst them.

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Produktdetails

• Verlag: Routledge
• Seitenzahl: 446
• Erscheinungstermin: 16. April 2019
• Englisch
• Abmessung: 250mm x 175mm x 28mm
• Gewicht: 944g
• ISBN-13: 9781138486850
• ISBN-10: 113848685X
• Artikelnr.: 57040551

Autorenporträt

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).

Inhaltsangabe

1. Introduction to Qualitative Data Analysis
2. Review of Qualitative Approaches and their Data Analysis Methods
3. Understanding the Art of Coding Qualitative Data
4. Preparing Data to Code
5. Reflecting, Acknowledging and Bracketing Your Perspectives and
Preconceptions
6. Documenting Personal Reflections and Analytical Process
7. Manually Assigning Codes to Data
8. Developing Categories and Themes
9. Connecting Themes and Developing Tables and Diagrams
10. Using QDA Miner Lite to Analyze Qualitative Data
11. Using NVivo 12 to Analyze Qualitative Data
12. Using Dedoose to Analyze Qualitative Data
13. Presenting Qualitative Findings
14. Ensuring Credibility of the Analysis Process and Findings
Appendix

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1. Introduction to Qualitative Data Analysis
2. Review of Qualitative Approaches and their Data Analysis Methods
3. Understanding the Art of Coding Qualitative Data
4. Preparing Data to Code
5. Reflecting, Acknowledging and Bracketing Your Perspectives and Preconceptions
6. Documenting Personal Reflections and Analytical Process
7. Manually Assigning Codes to Data
8. Developing Categories and Themes
9. Connecting Themes and Developing Tables and Diagrams
10. Using QDA Miner Lite to Analyze Qualitative Data
11. Using NVivo 12 to Analyze Qualitative Data
12. Using Dedoose to Analyze Qualitative Data
13. Presenting Qualitative Findings
14. Ensuring Credibility of the Analysis Process and Findings
Appendix