The coding manual for qualitative researchers
著者
書誌事項
The coding manual for qualitative researchers
Sage, c2016
3e
- : pbk
並立書誌 全1件
大学図書館所蔵 全1件
注記
Includes bibliographical references (p. [315]-331) and index
内容説明・目次
内容説明
Johnny Saldana's unique and invaluable manual demystifies the qualitative coding process with a comprehensive assessment of different coding types, examples and exercises. The ideal reference for students, teachers, and practitioners of qualitative inquiry, it is essential reading across the social sciences and neatly guides you through the multiple approaches available for coding qualitative data. Its wide array of strategies, from the more straightforward to the more complex, is skillfully explained and carefully exemplified providing a complete toolkit of codes and skills that can be applied to any research project. For each code Saldana provides information about the method's origin, gives a detailed description of the method, demonstrates its practical applications, and sets out a clearly illustrated example with analytic follow-up.
Now with a companion website, the book is supported by:
SAGE journal articles showing coding being applied to real research
Sample transcripts highlighting coding techniques
Links to CAQDAS sites to introduce relevant software
Practical student exercises Links to video and digital content
This international bestseller is an extremely usable, robust manual and is a must-have resource for qualitative researchers at all levels.
Click here for a listing of Johnny Saldana's upcoming workshops.
目次
Chapter One: An Introduction to Codes and Coding
Chapter Two: Writing Analytic Memos About Narrative and Visual Data
Chapter Three: First Cycle Coding Methods
Chapter Four: After First Cycle Coding
Chapter Five: Second Cycle Coding Methods
Chapter Six: After Second Cycle Coding
Appendix A: A Glossary of Coding Methods
Appendix B: A Glossary of Analytic Recommendations
Appendix C: Field Note, Interview Transcript, and Document Samples for Coding
Appendix D: Exercises and Activities for Coding and Qualitative Data Analytic Skill Development
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