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The Coding Manual for Qualitative Researchers Paperback – 19 Nov 2012

4.5 out of 5 stars 18 customer reviews

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Product details

  • Paperback: 328 pages
  • Publisher: Sage Publications Ltd; 2 edition (19 Nov. 2012)
  • Language: English
  • ISBN-10: 1446247376
  • ISBN-13: 978-1446247372
  • Product Dimensions: 17 x 1.9 x 24.2 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Bestsellers Rank: 297,053 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Review

This book fills a major gap in qualitative research methods courses. Saldaña has accomplished what has not been done before - creating a text that clearly identifies the many choices one has in coding their data. I wish I had this book when I started conducting qualitative research. It should be required reading for all.


Mark Winton
University of Central Florida


An excellent handbook that helps demystify the coding process with a comprehensive assessment of different coding types, examples and exercises. As such it is a valuable teaching resource and it will also be of use to anyone undertaking qualitative analysis.


Kevin Meethan
Plymouth Universit
y


The Coding Manual describes the qualitative coding process with clarity and expertise. Its wide array of strategies, from the more straightforward to the more complex, are skilfully explained and exemplified. This extremely usable manual is a must-have resource for qualitative researchers at all levels.


Tara M. Brown
Brandeis Universit
y



“One admirable quality of Saldaña’s work is that he does not overstate the significance of qualitative data coding: he positions himself as a strong believer in its value, while acknowledging and addressing six common critiques of coding including that coding can be reductionist or even dangerous (pp. 38–40). This proleptic honesty only makes his argument for more principled and rigorous coding all the more convincing...More than anything, this text is highly practical; in addition to definitions, catalogs, and examples, Saldaña delineates in painstaking detail every step of the coding process, including discussions of what exactly can be coded, quantity of data to code, and coding mechanics...The chapters in the Manual follow a helpfully predictable format…after having studied one chapter, the reader will become accustomed to the book’s pattern of presenting key concepts and practical applications.”

 

(Elmar Hashimov, Ball State University)

The Coding Manual for Qualitative Researchers, by Johnny Saldana, was not around when I learned to code qualitative data. I wish it had been...Saldana provides a skeleton on which to hang qualitative data analysis, which I have not seen in other approaches to the subject. (Molly Engle, American Journal of Evaluation)

About the Author

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.


Customer Reviews

4.5 out of 5 stars
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Top Customer Reviews

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This book is more about the 'technical' side of coding - it is a "manual" describing the varied ways of coding which the author has identified in the literature. However, there is little talk of methodology in the broadest sense, e.g. the epistemological and ontological commitments that shape research, including analysis. The author draws heavily from grounded theory, and appears to be a realist which shapes his understanding and presentation of coding. The "second cycle" coding methods are about focused, axial and theoretical coding - with a scattering of other methods like longitudinal coding discussed too. Those who work from critical, richly interpretivist and hermeneutic perspectives may struggle with the static and formulaic presentations of getting to the truth of the data.

Ultimately, whilst I didn't realise that there were so many ways to drag and drop text using CAQDAS (and I didn't know what different methods were called - which is why I reference the book in my publications), I found the book frustrating to use because I couldn't find the right coding method for my methodology and research design, despite dozens of coding strategies reviewed with appropriate-sounding names.

I give this book 3 stars out of 5, but please note that I'm a researcher with a PhD at a UK university. My review is based on my needs and understandings, but lecturers teaching research students how to code may find the book useful as an introduction. It is well-written, offers definitions of coding and reasons to code, and offers readers a glossary and references for further reading.
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Format: Paperback
Then buy this book!

Saldana writes in a usefully detailed, but not patronising way, to provide clear advice on how to code qualitative data. He gives very detailed examples and analysis of when different techniques are being coded.

What I liked most about the book was:

1) Clear organisation made it easy to follow and dip in and out of
2) He is open to the book not being a specific 'how to guide' i.e. he tells you what you COULD do and gives you the knowledge to DECIDE what to do for your research.

It is probably one of a kind in terms of scope and coverage on a tricky topic to get to grips with.

N.B. Read with Qualitative Data Analysis by Miles, Huberman and Saldana will form a very authoritative set of reference texts.
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I did an in-depth interview study for my masters dissertation (my first attempt at qualitative research). This book was a great reference for understanding what coding is and is not all about. The level of detail was obviously unnecessary for my project, but I used this book as a great reference. If you're, like me, not a research student and just doing a project for a different degree, I found most of what I needed to know in Successful Qualitative Research: A Practical Guide for Beginners. But I liked Saldaña's book very much.
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Gives you the low down of every possible coding type you might ever consider, and usefully gives you an indication of the methodologies that *might* adopt that coding approach. Walks through first and second phase coding too.
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I consider this book as a tool or a manual for coding. Unfortunately, it did not meet my needs. I thought it will cover more the methodology part which is very crucial if you are writing a paper or doing your PhD work.
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This manual is a very useful reference for the seemingly daunting task of coding qualitative data for undergrad research. I've dipped into it as a guide many many times just to check that I'm doing something right or if I'm determined to find a technique that will tease more out of the data I've collected. It's written in a simple, clear way that doesn't intimidate and allows you to take what you want from it. It's useful for those that have never coded before too with its many tips and explanations that act as a very good introduction into qualitative research.
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The book came with scratches on which was a bit annoying since I bought it new. However, the content is the book is fantastic, and I am looking forward to having a proper read of it to help with my Masters thesis!
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This book contained explanations and practical examples for my research project and has helped me to pinpoint exact requirements from a range of possibilities.
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