Qualitative Data Analysis: A User Friendly Guide for Social Scientists
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.
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Qualitative Data Analysis: A User Friendly Guide for Social Scientists
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.
74.99 In Stock
Qualitative Data Analysis: A User Friendly Guide for Social Scientists

Qualitative Data Analysis: A User Friendly Guide for Social Scientists

by Ian Dey
Qualitative Data Analysis: A User Friendly Guide for Social Scientists

Qualitative Data Analysis: A User Friendly Guide for Social Scientists

by Ian Dey

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$74.99 
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Overview

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.

Product Details

ISBN-13: 9780415058520
Publisher: Taylor & Francis
Publication date: 03/11/1993
Edition description: New Edition
Pages: 300
Product dimensions: 6.12(w) x 9.19(h) x (d)

Table of Contents

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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