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Qualitative Data Analysis: A Methods Sourcebook (Inglés) Tapa blanda – 11 jun 2013

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"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)

Reseña del editor

A companion website is available for this text

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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Amazon.com: 4,3 de 5 estrellas 33 opiniones
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