Ebook Qualitative Data Analysis: A Methods Sourcebook, by Matthew B. Miles, A. Michael Huberman, Johnny Saldaña
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Qualitative Data Analysis: A Methods Sourcebook, by Matthew B. Miles, A. Michael Huberman, Johnny Saldaña
Ebook Qualitative Data Analysis: A Methods Sourcebook, by Matthew B. Miles, A. Michael Huberman, Johnny Saldaña
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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.
- Sales Rank: #47352 in Books
- Published on: 2013-04-18
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 8.50" w x .75" l, 2.10 pounds
- Binding: Paperback
- 408 pages
Review
"This book is a wonderful, valuable and truly important contribution to the field of qualitative research. Saldana has updated, innovated and altogether advanced the insights and wisdom of practice of Miles and Huberman in such a way as to amplify the value of their work while making it even more usable and inspiring to researchers concerned with engaging in rigorous, reflective, systematic and reliable empirical research. This book adds great value to the field of qualitative research and I will use it in all of my methods courses with great enthusiasm and appreciation. Thank you for your hard work, I am grateful!" (Sharon Ravitch)
"I definitely plan to adopt this edition when it becomes available. In recent years, this has been a text I encourage student to use as a reference. The new edition will be a required textbook for my Advanced Qualitative Research course." (Mary Madden)
“The new material is well integrated, it still has the Miles and Huberman content, but the presentation strategy adds new material and “softens” the quantitative edge of the Second Edition. I think the section on coding (Chapter 4) is an excellent presentation and surpasses similar material in Saldaña’s previous book. This book continues to be the best basic sourcebook available." (James H. Banning 2013-03-15)
"Yes, this is a much improved 3rd edition and I know my students will find it extremely valuable as a handbook, instructional guide, and day-to-day resource in their qualitative analysis activities." (Carolyn Garcia)
“All in all, the updated Sourcebook is an impressive accomplishment in preserving Miles and Huberman’s original vision while also moving research approaches forward with the changing demands of the field...Saldaña reorganized the Sourcebook with great care and according to Miles and Huberman’s five primary purposes of data display: to explore, describe, order, explain, and predict...With all its helpful updates, the new and improved Sourcebook provides an extensive overview and a range of practical applications of possible and ‘elusive’ qualitative data analysis methods (aimed primarily at textual data).”
(Elmar Hashimov, Ball State University)Several of the data display strategies from the previous editions are retained and MHS [Miles, Huberman, and Saldana] presents them in reenvisioned and reorganized formats that will, I believe, enhance reader accessibility and comprehension...The book provides a display (p. 340), taken from the second edition, that illustrates an "overview of qualitative data analysis processes." The display is a concept map, starting with the research question and ending with the dissemination and use of the report. The bulk of MHS (Chapters 5–10) talks about what is in between these points. The concept map is complex and will be valuable for readers, whatever their level of coding experience. (Molly Engle, American Journal of Evaluation)
About the Author
Matthew B. Miles, a social psychologist, had a career-long interest in strategies for educational reform. His work focused on planned change in education, group and organizational studies, and the dissemination and implementation of research findings. His first major research project was a four-year study of six new, innovative public schools.
A. Michael Huberman’s long-term interests were in scientific epistemology and adult cognition and knowledge use. His work focused on education policy, school reform, and the practical translation of research knowledge into effective school practice. His first extensive project was a four-year study of an experimental elementary school’s implementation of Piagetian theories into classroom practice..
Johnny Saldaña is Professor Emeritus of Theatre from the Herberger Institute for Design and the Arts’ School of Film, Dance, and Theatre at Arizona State University. He has been involved in the field of theatre as a teacher educator, director, playwright, and qualitative researcher. Saldaña’s research methods have been used and cited internationally for studies in K-12 and higher education, the fine arts, business, technology, social sciences, government, social services, communication, human development, sport, health care, and medicine. He is the author of Longitudinal Qualitative Research: Analyzing Change Through Time (AltaMira Press, 2003), recipient of the 2004 Outstanding Book Award from the National Communication Association’s Ethnography Division; Ethnodrama: An Anthology of Reality Theatre (AltaMira Press, 2005), an edited collection of ethnographic-based plays; The Coding Manual for Qualitative Researchers (Sage Publications, 2009; second edition, 2013), a handbook on qualitative data analysis; Fundamentals of Qualitative Research (Oxford University Press, 2011), a commissioned introductory textbook and volume one of the Understanding Qualitative Research series; Ethnotheatre: Research from Page to Stage (Left Coast Press, 2011), a playwriting primer for performance ethnography and recipient of the American Educational Research Association’s Qualitative Research Special Interest Group’s 2012 Outstanding Book Award; and Qualitative Data Analysis: A Methods Sourcebook, third edition (Sage Publications, 2014), a commissioned update and revision of the late Matthew B. Miles and A. Michael Huberman’s second edition (1994) book, Qualitative Data Analysis: An Expanded Sourcebook.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Pretty good book on qualitative data analysis
By Rachel in Washington
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 variations on the types of tables you can use to summarize and analyze and draw connections in your qualitative data. I'm not totally sold on the need for tables if you're coding your data in NVivo anyway, but it's interesting to read this perspective and it seems like there could certainly be occasions when tables would make sense. Plus this book is considered seminal, so it's a good one to get and read.
5 of 5 people found the following review helpful.
Great Resource
By Kimi
This was a great general book for looking at qualitative data analysis methodologies. I am writing the last two chapters of my dissertation and this was very helpful.
4 of 4 people found the following review helpful.
Perfect for your dissertation work!
By Lizzie
Are you trying to write a good proposal? This book has guiding fundamentals of qualitative methodology practices to help guide you through the analyzing process.
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