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Qualitative Data Analysis Explorations with NVivo (Understanding Social Research) by Graham R Gibbs

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Published by Open University Press .
Written in English

Subjects:

  • Computer Software Packages,
  • Social research & statistics,
  • Computers,
  • Sociology,
  • Computer Books: General,
  • Research,
  • Sociology - General,
  • Social Science / Sociology / General,
  • Programming - Systems Analysis & Design,
  • Behavior modification,
  • Health attitudes,
  • Health behavior,
  • Social perception

Book details:

The Physical Object
FormatSpiral-bound
Number of Pages224
ID Numbers
Open LibraryOL9890303M
ISBN 100335200842
ISBN 109780335200849

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The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this 4/5(12). out of 5 stars Pretty good book on qualitative data analysis. Reviewed in the United States on Octo Verified Purchase. I've been pretty happy with this book -- clearly describes their recommended approach for analyzing qualitative data. In short, they are all about TABLES. They spend chapter after chapter presenting different Cited by: It is a must-have tool book for moving from data analysis to writing for publication!” –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and. Note: If you're looking for a free download links of Qualitative Data Analysis: A Methods Sourcebook Pdf, epub, docx and torrent then this site is not for you. only do ebook promotions online and we does not distribute any free download of ebook on this site.

This is the ideal book to get you up and running with the basics of qualitative data analysis. It breaks everything down into a series of simple steps and introduces the practical tools and techniques you need to turn your transcripts into meaningful research. Qualitative data analysis is an iterative and reflexive process that begins as data are being collected rather than after data collection has ceased (Stake ). Next to her field notes or interview transcripts, the qualita -. The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third . A Step-By-Step Guide to Qualitative Data Analysis. life than t he one we had back in Zimbabwe and we got the opportunity. because my uncle .

  The market research budget of a small business owner or a home-based business generally does not have room for spending large sums of money on software to analyze the qualitative data collected for business development. However, you can use an ordinary word processing applicatio n to conduct text analysis for qualitative market research. The study utilized a content analysis method with a qualitative approach. The data were collected through the analysis of students' speaking rubric to explore the use of digital video project in. Miles and Huberman address the question of how to draw meaning from qualitative data by examining and discussing varieties of qualitative research and analysis of qualitative data. They discuss focusing and bounding the collection of data, early steps in analysis, within-case displays, cross-case displays, matrix displays, drawing and verifying 4/5. Doing qualitative research is not easy and may require a complete rethink of how research is conducted, particularly for researchers who are more familiar with quantitative approaches. There are many ways of conducting qualitative research, and this paper has covered some of the practical issues regarding data collection, analysis, and management.