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by Ian Dey

  • ISBN: 0415058511
  • Category: Math & Science
  • Author: Ian Dey
  • Subcategory: Mathematics
  • Other formats: doc lrf lit mobi
  • Language: English
  • Publisher: Routledge (March 11, 1993)
  • Pages: 304 pages
  • FB2 size: 1421 kb
  • EPUB size: 1811 kb
  • Rating: 4.9
  • Votes: 590
Download Qualitative Data Analysis: A User-friendly Guide for Social Scientists fb2

I enjoyed this book especially at the beginning, but by the end Dey's ideas and writing becomes redundant and tedious to read. It wasn't hard to do, though, so I think others can do the same and enjoy the ideas in this book as much

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.

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Qualitative Data Analysis book. Goodreads helps you keep track of books you want to read. Start by marking Qualitative Data Analysis: A User Friendly Guide for Social Scientists as Want to Read: Want to Read saving. First Published in 2004  . Start by marking Qualitative Data Analysis: A User Friendly Guide for Social Scientists as Want to Read: Want to Read savin. ant to Read.

This book presents Ulrich Beck, one of the world’s leading sociologists and social thinkers, as a Pioneer in Cosmopolitan . In Part II, The Flexible Use of Data," the generation of theory from qualitative, especially documentary, and quantitative data Is considered.

This book presents Ulrich Beck, one of the world’s leading sociologists and social thinkers, as a Pioneer in Cosmopolitan Sociology and Risk Society. In Part III, "Implications of Grounded Theory," Glaser and Strauss examine the credibility of grounded theory.

item 2 Qualitative Data Analysis: A User Friendly Guide for S. .Compare similar products. Qualitative Data Analysis: A User-friendly Guide for Social Scientists by Ian Dey (Paperback, 1993).by Dey, Ian Paperback. item 3 Qualitative Data Analysis: A User Friendly Guide for Social Scientists,Ian Dey -Qualitative Data Analysis: A User Friendly Guide for Social Scientists,Ian Dey. £. 7. Current slide {CURRENT SLIDE} of {TOTAL SLIDES}- Compare similar products.

By: Ian Dey. Publisher: Routledge. Print ISBN: 9780415058520, 041505852X.

Save up to 80% by choosing the eTextbook option for ISBN: 9781134931453, 113493145X. The print version of this textbook is ISBN: 9780415058520, 041505852X. By: Ian Dey.

User-Friendly: Anthropomorphic Devices and Mechanical Behaviour in Japan. Regression Mathematical Model of Impact Factors for Social Science Journals Based on Information Reused Analysis Method. Xuexia Wei, Xiao Dong, Shiqiang Zhang. 41006 6 892 Downloads 9 787 Views Citations. Pub. Date: February 19, 2014. 43002 2 150 Downloads 2 518 Views Citations. Date: March 1, 2016.

Qualitative data analysis. A user-friendly guide for social scientists. A new book on qualitative data analysis needs no apology. By comparison with the numerous texts on statistical analysis, qualitative data analysis has been ill-served. Ian Dey. London and new york. First published 1993 by Routledge. There is some irony in this situation: even a single text might suffice for the standardized procedures of statistical analysis; but for qualitative analysis, oft-noted for the diffuse and varied character of its procedures, we might reasonably expect a multiplicity of texts, not just a few. Teaching a course on methods makes one especially aware of this gap.

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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