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Qualitative Data Analysis: An Expanded Sourcebook

de Matthew B. Miles, A. Michael Huberman

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307285,115 (3.78)Cap
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 Edition′s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Saldaña′s recent qualitative work. The book′s most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.… (més)
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Professionally, I work a lot with quantitative data, through mathematics/biostatistics, building software, and research design. The world of words has long been a domain that has enchanted me even though symbols have comprised my main language. Recently, my wife has started graduate work using qualitative methods. I decided to fill my deficits in this world by reading this book. I am by no means expert or even experienced in it, but I merely have an interest.

This book seems to be the seminal work in its field. The authors share their wisdom and experiences in this accessible textbook, now in a fourth edition. They cover the entire process from design and data collection to building a theory. They talk at length about coding as well as how to present your data. They even have a chapter on writing, with many encouragements to not be boring!

The graphics and illustrations in this book are excellent and inspirational. I am always interested in creating visualizations to communicate research data effectively, and this book provided many muses in that regard. They talked about converting written accounts into concept maps and linking those to address “influences and affects” of a weak sort of causality. This book helped slow my mind down about the many moving parts in qualitative research so that I can focus more on a work’s reality and substance.

This book is obviously geared towards researchers, whether new or old. The writing and presentation are accessible enough so that graduate students would be well-served by reading this work. Practitioners, of course, can benefit as well, but they likely would have read one of the prior three editions of this book. Those who, like me, are involved in other parts of the research enterprise can learn about their colleagues’ work, too. Finally, those who spend significant time building visuals to communicate concepts can learn from these authors’ analytical techniques.

After finishing this work, I’m inspired about the myriad of ways non-quantitative data can be analyzed and concisely communicated to readers – especially in ways that aren’t written prose. Poetry, artful presentations, summarizing graphics, and matrix-tables together can create a mosaic to comport meaningful and accurate understanding to readers. My personal bar has been raised, and I suspect many other readers’ bars will be, too. ( )
  scottjpearson | Apr 15, 2022 |
A most excellent resource for the researcher, student of research, or teacher of research methodology. ( )
  woofrock | May 18, 2009 |
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Matthew B. Milesautor primaritotes les edicionscalculat
Huberman, A. Michaelautor principaltotes les edicionsconfirmat
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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 Edition′s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Saldaña′s recent qualitative work. The book′s most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

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