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Qualitative Data Analysis: A User Friendly Guide for Social Scientists

Qualitative Data Analysis: A User Friendly Guide for Social Scientists

Qualitative Data Analysis: A User Friendly Guide for Social Scientists
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Qualitative Data Analysis: A User Friendly Guide for Social Scientists Paperback - 1993

by Dey, Ian

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Routledge, 1993-11-03. 1. paperback. Used: Good. 6.14x0.68x9.21. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Qualitative Data Analysis: A User Friendly Guide for Social Scientists
  • Author Dey, Ian
  • Binding Paperback
  • Edition 1
  • Condition Used: Good
  • Pages 300
  • Volumes 1
  • Language ENG
  • Publisher Routledge, London, United Kingdom
  • Publication date 1993-11-03
  • Features Glossary
  • Bookseller's Inventory # SONG041505852X
  • ISBN 9780415058520 / 041505852X
  • Weight 1.02 lbs (0.46 kg)
  • Dimensions 9.19 x 6.2 x 0.62 in (23.34 x 15.75 x 1.57 cm)
  • Size 6.14x0.68x9.21
  • Category Sociology
  • Library of Congress subjects Social sciences - Statistical methods -, Social sciences - Data processing
  • Library of Congress Catalogue Number 92026082
  • Dewey Decimal Code 001.422
  • Quantity available 1

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Reader reviews for Qualitative Data Analysis: A User Friendly Guide for Social Scientists

From the publisher

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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