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Qualitative Data Analysis: An Expanded Sourcebook(2nd Edition),   ISBN:9780803955400

     
  Qualitative Data Analysis: An Expanded Sourcebook(2nd Edition)

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Binding: Paperback
Release Date: 1994
Edition: 2nd
List Price: $84.95

Average Customer Rating:
Score = 4.5 Score = 4.5 Score = 4.5 Score = 4.5 Score = 4.5

ISBN-13: 9780803955400
ISBN-10: 0803955405
Author: Matthew B. Miles, Michael Huberman
Publisher: Sage Publications, Inc
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Summaries and Customer Reviews are supplied by Amazon.com

Summary:

In 1984, the first edition of Qualitative Data Analysis addressed a critical need faced by researchers in all fields of the human sciences - how to draw valid meaning from qualitative data. It provided methods of analysis that were practical, credible and reliable. This groundbreaking book has now been revised to take up where the first edition left off and account for the phenomenal expansion of qualitative inquiry since then.

In this second edition, Miles and Huberman bring the art of qualitative data analysis up to date, adding hundreds of new techniques, ideas and references that draw on the experience of the authors and many colleagues in the design, testing and use of qualitative data analysis methods. Each method of data display and analysis is described and illustrated in detail, with practical suggestions for adaptation and use. The growth of computer use in qualitative analysis is reflected throughout this volume, which also includes an extensive appendix on criteria useful for choosing among the currently available analysis packages.

Using examples from a host of social science and professional disciplines and stressing a hands-on, practical approach, Qualitative Data Analysis, Second Edition, remains the most complete treatment of this topic available to scholars and applied researchers.

Customer Reviews:

Average Customer Rating: Score = 4.5 Score = 4.5 Score = 4.5 Score = 4.5 Score = 4.5

Useful
Customer Rating:  Score = 4 Score = 4 Score = 4 Score = 4 Score = 4

What I like about this is that it offers very concrete steps about how to take data and pull it all together. How to start linking ideas, put together themes, develop more complex matrices, etc. I will say that the text is rather difficult reading and the examples, almost all from evaluation of educational programs, are often difficult to understand and follow. If you have some experience with qualitative data, this book may be helpful. I think I'll still have to do more reading to understand the analysis process, though.

OUTSTANDING TEXT AND NEVER OUTDATED
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5

This is a great book for guidance for qualitative analysis. It never becomes outdated and is an industry standard.

Vickie L. Peters

Basics well covered
Customer Rating:  Score = 4 Score = 4 Score = 4 Score = 4 Score = 4

An excellent book covering the basics of qualitative data analysis (QDA) with a fair amount of coverage of computer tools that support QDA. While computer samples are provided through out the book and an Appendix provides a summary of tools available at time of publication, greater emphasis could have been placed on the capabilities of QDA software, especially such tools as HyperRESEARCH (http:/www.researchware.com/) or Atlas.ti (http://www.atlasti.com/) to name just two.

The Bible for Qualitative Researchers
Customer Rating:  Score = 5 Score = 5 Score = 5 Score = 5 Score = 5

This book is one of the main reasons I was able to tackle my dissertation so effectively. It is priceless.

Not very helpful for dissertation work
Customer Rating:  Score = 2 Score = 2 Score = 2 Score = 2 Score = 2

This publication is well organized and covers a large scope of data analysis in qualitative research but did very little, in my opinion, to guide me, as a dissertation author, in the process of coding and thematic analysis. A book entitled Qualitative Data Analysis, I think, should cover the actual analysis of qualitative data more than the type of introduction to design of qualitative research. One finds this information in many, many other titles- and to a more useable extent to boot. Two of the 13 chapters were helpful in meeting my needs (Chapter 4: Early Steps in Analysis and Chapter 10: Making Good Sense: Drawing and Verifying Conclusions) While there is a wealth of information presented in a well-written manner such as information about the display of data, my initial reading of the book was followed by immediate shelving.

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