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The Coding Manual for Qualitative Researchers [Paperback]

Johnny Saldana
5.0 out of 5 stars  See all reviews (8 customer reviews)

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Book Description

19 Feb 2009 1847875491 978-1847875495 1st
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data.

In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method's origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example. Also included in the book is an introduction to how codes and coding initiate qualitative data analysis, their applications with qualitative data analysis software, the writing of supplemental analytic memos, and recommendations for how to best use the manual for particular studies.

The Coding Manual for Qualitative Researchers is an invaluable reference for all students, teachers, and practitioners of qualitative inquiry, and a useful textbook for beginning and advanced qualitative research methods courses in such disciplines as education, sociology, communication, anthropology, psychology, and health care.

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Product details

  • Paperback: 240 pages
  • Publisher: Sage Publications Ltd; 1st edition (19 Feb 2009)
  • Language: English
  • ISBN-10: 1847875491
  • ISBN-13: 978-1847875495
  • Product Dimensions: 23.9 x 16.8 x 1.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Bestsellers Rank: 359,641 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

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'The Coding Manual for Qualitative Researchers is a sophisticated introduction to strategies for coding qualitative data….Saldana writes in a colloquial and easy-to-follow style, which is a great help for those not well versed in this area. His plentiful and pertinent examples keep the reader interested and engaged in the material' - PsycCRITIQUES

'Perhaps we could call Johnny Saldana (2009) the Dan Brown of qualitative research…Certainly, this is a man who knows how to decode the mysteries of coding qualitative data. While Saldana's new book, The Coding Manual for Qualitative Researchers, may not be marketed as a thriller, students, teachers, and practitioners of qualitative research may well find themselves thrilled by the clarity and comprehensiveness of Saldana's text' - The Weekly Qualitative Report

About the Author

Johnny Saldana is a Professor of Theatre in the Herberger Institute for Design and the Arts' School of Theatre and Film at Arizona State University where he has taught since 1981. He received his BFA and MFA degrees in drama education from the University of Texas at Austin. He is the author of Drama of Color: Improvisation with Multiethnic Folklore (Heinemann, 1995), awarded the 1996 Distinguished Book Award from the American Alliance for Theatre & Education (AATE); Longitudinal Qualitative Research: Analyzing Change Through Time (AltaMira Press, 2003), awarded the 2004 Outstanding Book Award from the National Communication Association's Ethnography Division; Ethnodrama: An Anthology of Reality Theatre (AltaMira Press, 2005); The Coding Manual for Qualitative Researchers (SAGE, 2009); and Fundamentals of Qualitative Research (Oxford University Press, 2011). In press is a new book, Ethnotheatre: Research from Page to Stage (Left Coast Press, 2012) and a Second Edition of The Coding Manual for Qualitative Researchers (SAGE, 2013).

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Most Helpful Customer Reviews
14 of 14 people found the following review helpful
Format:Paperback|Verified Purchase
AS a 'beginning' researcher, I have found this book immensely useful, but I suspect that more seasoned researchers will also find much in it to appreciate. It is clearly laid out and very readable. The introduction alone provides enough comprehensive but succinct information to help the reader grasp the essential purpose and tasks of coding. The book does what it says in the title and, in addition to the introduction, provides sections on writing analytic memos, transcriptions, a long section on different forms and applications of first cycle coding methods, and then second cycle methods. There are good working examples all the way through plus exercises and examples in the excellent appendices. It concludes with a chapter on post-coding and pre-writing.
I found this book purely by chance as a link from another book I was looking for on Amazon. It is relatively new: 2009, and that is also an advantage as it is right up to date. The author writes very well and, unlike other research volumes I have ploughed through, his clarity of style and the straightforward layout made this an easy and enjoyable read. This is quite a feat considering there is so much information contained in the manual, but it is all logically laid out and broken up into manageable section headings. This also makes the book easier to refer back to and I suspect my copy will become increasingly dog-eared as I do just this as my research progresses!
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9 of 9 people found the following review helpful
5.0 out of 5 stars It's good for Ph.D. students. 12 Oct 2009
I am a Ph.D. student in Thailand. I have to do my first study through qualitative methodology. I tried to read a lot of book in the library's shelve but I found that there is no book that indicate more details in coding methods. I found this book via Amazon and I think it is a worth when you are the beginner in qualitative research. This book lead me understand a whole process of qualitative analysis and a various kind of coding methods. It's good that you are a new researcher and attempted to find a good book which help you how to analyse your data. Cheers! Dio Thailand.
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8 of 8 people found the following review helpful
5.0 out of 5 stars Essential reading for all new researchers 15 Oct 2010
By bec
I can't recommend this book highly enough. As a part time, distance PhD student, I struggled with understanding how to code data for analysis and had no peers or tutors on hand to ask. This book is easy to understand, provides a range of methods and gives a lot of excellent examples. Any MSc or PhD student could benefit from reading this book.
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1 of 1 people found the following review helpful
5.0 out of 5 stars RikkiHan 3 Feb 2012
Format:Paperback|Verified Purchase
This an excellent book - just what I needed when I was stalling with my PhD data analysis. It is a very practical guide - but well grounded in data analysis theory. I used it to help me get the best out of the NVivo research project software. Together they have given me new confidence and moved my research forward to new insights.
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