Qualitative data analysis : a user-friendly guide for social scientists

著者

書誌事項

Qualitative data analysis : a user-friendly guide for social scientists

Ian Dey

Routledge, 1993

  • : hbk
  • : pbk

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注記

Bibliography: p. [277]-279

Includes index

内容説明・目次

巻冊次

: hbk ISBN 9780415058513

内容説明

Learning how to analyze qualitative data by computer can be fun. That is one assumption underpinning this introduction to qualitative analysis, which takes account of how computing techniques have enhanced and transformed the field. The author provides a practical discussion of the main procedures for analyzing qualitative data by computer, with most of its examples taken from humour or everyday life. He examines ways in which computers can contribute to greater rigour and creativity, as well as greater efficiency in analysis. He discusses some of the pitfalls and paradoxes as well as the practicalities of computer-based qualitative analysis. The perspective of "Qualitative Data Analysis" is pragmatic rather than prescriptive, introducing different possibilities without advocating one particular approach. The result is a largely discipline-neutral text, which is suitable for arts and social science students and first-time qualitative analysts.
巻冊次

: pbk ISBN 9780415058520

内容説明

First Published in 2004. Learning how to analyze qualitative data by computer can be fun. That is one assumption underpinning this introduction to qualitative analysis, which takes account of how computing techniques have enhanced and transformed the field. The author provides a practical discussion of the main procedures for analyzing qualitative data by computer, with most of its examples taken from humour or everyday life. He examines ways in which computers can contribute to greater rigour and creativity, as well as greater efficiency in analysis. He discusses some of the pitfalls and paradoxes as well as the practicalities of computer-based qualitative analysis. The perspective of "Qualitative Data Analysis" is pragmatic rather than prescriptive, introducing different possibilities without advocating one particular approach. The result is a largely discipline-neutral text, which is suitable for arts and social science students and first-time qualitative analysts.

目次

Introduction 1. What is Qualitative Data? 2. What is Qualitative Analysis? 3. Introducing Computers 4. Finding a Focus 5. Managing Data 6. Reading and Annotating 7. Creating Categories 8. Assigning Categories 9. Splitting and Splicing 10. Linking Data 11. Making Connections 12. Of Maps and Matrices 13. Corroborating Evidence 14. Producing an Account 15. In Conclusion Glossary Appendix 1. 'If the impressionists had been dentists' Appendix 2. Software References

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