Qualitative Data Analysis
eBook - ePub

Qualitative Data Analysis

Practical Strategies

  1. 584 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Qualitative Data Analysis

Practical Strategies

Book details
Table of contents
Citations

About This Book

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish. Grounded in the reality of doing research, this second edition: •Presents visual and text-based methods for analysis, using manual and digital tools
•Inspires confidence as you code, connect and interrogate observational, text and visual data
•Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences. Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.

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Yes, you can access Qualitative Data Analysis by Patricia Bazeley in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
SAGE Publications Ltd
Year
2020
ISBN
9781526471703
Edition
2
Topic
Social Sciences
Subtopic
Social Science Research & Methodology
Index
Social Sciences

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Brief contents
  7. Detailed contents
  8. Illustration List
  9. Table List
  10. About the author
  11. Preface to the first edition
  12. Preface to the second edition
  13. Online Resources
  14. Part I Laying the Foundations for Analysis
  15. 1 Thinking and working qualitatively
  16. 2 Foundations for thinking and working qualitatively
  17. 3 Design that supports analysis
  18. 4 Managing and preparing data for analysis
  19. Part II Fundamentals of Analysis: Working with Data
  20. 5 Read, reflect, and connect: initial explorations of data
  21. 6 Coding as an analytic strategy
  22. 7 Tools to manage the coding process
  23. 8 Codes, themes, and descriptive writing
  24. 9 Working with cases to build understanding and explanation
  25. 10 Learning from stories, accounts, and conversations
  26. 11 Analysing visual data
  27. 12 Comparative analyses using coded data
  28. Part III Reconstruction, Connection, and Coherence
  29. 13 Exploring, seeing, and investigating connections in data
  30. 14 Elaborating concepts, developing theory
  31. 15 Realising coherent understanding
  32. 16 Defending and extending: issues of quality and significance
  33. Appendix: Data samples
  34. References
  35. Index