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Cited by 2,388

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Qualitative Data Analysis: A User Friendly Guide for Social Scientists

Dey, Ian·2003·Routledge eBooks

Abstract

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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Metadata

Authors
Dey, I.
Venue
Routledge eBooks
Publisher
Routledge
Published
2003-09-02
OpenAlex
W3147940169
Cited by
2,388
References
0
FWCI
101.48
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Qualitative Data Analysis: A User Friendly Guide for Social Scientists. https://app.cochat.ai/papers/10.4324/9780203412497
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Dey, I. (2003). Qualitative Data Analysis: A User Friendly Guide for Social Scientists. Routledge eBooks. https://doi.org/10.4324/9780203412497

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.