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.
Clear, concise, and helpful. Saldaña says there's no need to read cover-to-cover, but for inexperienced qualitative researchers, there's a degree of comfort that comes from his thoroughness.
This should be required reading in any qualitative-methods course, especially if applied practice is involved.
I was particularly impressed by his ability to balance electronic/database-driven tools and more traditional manual tools. He is clear to point out when one becomes essential in contrast to another, but elsewhere, he acknowledges how each method views particular constructs he introduces.
Handy, flexible, and thorough. I'll be referring back to this one regularly.
This is a very useful book for qualitative researchers, or for students learning about qualitative research. Saldaña clearly outlines the philosophies between the different types of coding and the ways to transition between coding stages. Though I was instructed to read the book from cover to cover, it is a manual and as such would be more useful as a guide to refer to throughout the coding process. Even Saldaña writes that the book may be used in multiple ways as a tool, and will be less useful read consecutively.
Summary: This is a frequently cited opus on qualitative research and how to code for it. The book is divided into three parts: An Introduction to Codes and Coding; Writing Analytic Memos; and First Cycle Coding Methods. It is loaded with examples and differentiates practices so the newbie can interpret and explicate on their own.
Evaluation: I have also read Yin (Yin, R. K. (2015). Qualitative research from start to finish. Guilford Publications.), Marshall (Marshall, C., & Rossman, G. B. (2014). Designing qualitative research. Sage publications.) and Creswell (Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative. New Jersey: Upper Saddle River.) Saldana is most helpful in getting new researchers up and running and stepping them through the process and product of coding.
Reflection: While Creswell really gives a theoretical comparison of concepts and practices, Yin gives a overview of all the things to cover in many kinds of qualitative research, and Marshall gives a really good drill down of setting up your research study, I find that Saldana has given me the most help (and confidence) in moving my action research practices into more systematic coding for future publication.
This manual made my life so much easier! As a graduate student in the midst of their research, I was hesitant to take the time to read through almost 300 pages of coding methods, but I’m so glad I did. As a novice researcher, having an understanding of many different types of coding methods really gave context to what I was being advised to do, and the included citations for each method gives the reader additional sources to further their understanding of codes. Definitely a solid groundwork of the material, and helped me develop my own thoughts and writing.
This book is more in line with the " methods sourcebook" by the same author. It catalogs a set of coding profiles for first and second cycle of coding. While catalog is interesting and useful as a reference, the postscript about how to use the coding profiles and how to manage the coding process in each cycle is most useful. For me, it kind of reaffirmed the certain beliefs about qualitative research and the involved techniques. The exposition about the relations between coding profiles is also useful but a bit lacking; specifically, more comparative description of profiles would have helped to understand seemingly similar coding profiles, e.g., holistic coding vs concept coding vs themeing of data.
I appreciate the complete list of the coding methods described in here, but I suggest to go for the other resources the author mentioned on the book once you want to deep dive into a certain coding method for more depth. Your field and framework also matters I think, because mostly what is described here is a general approach which is expected from a book dedicated for beginning researchers from all fields.
Never did I think that I would read a book on qualitative coding, yet here I am. And I actually enjoyed it. I found it very useful to me as I embark upon my qualitative-based dissertation project. The how to think about coding, themeing the data, and synthesis were especially helpful as I devise a plan to handle the massive quantity of data that will accumulate as part of a multi-base data analysis.
Super useful guide to the actual processes of coding and possible approaches to coding data. I liked the structure of this guide and it actual felt like it was meant to be used as a guide. I could see myself returning to this book with different projects for help approaching multiple sets of data or ways to employ simultaneous coding.
This was an incredible useful guide to coding for qualitative research. I highly recommend it. It should be viewed as reference material but I read it cover to cover. Saldaña offers clear descriptions and examples of a plethora of coding schemes at different stages of research. It was overwhelming to read but overall I am glad I did because now I have a better grasp of the methodology.
An outstanding guide that provides an incredibly clear discussion of first- and second-cycle qualitative coding methodology. I regularly assign and recommend this book to my students, and find that it is a useful reference that I often return to.
As someone whose field is adjacent to the social sciences but who uses social science methods, this is hands-down the most comprehensive, clear, and helpful book for qualitative coding. I have recommended it to several graduate students, all of whom have found it invaluable.
Incredibly helpful, I recommend this for anyone doing qualitative research. Saldana offers far more options than I could use in one project, which I love because I can rule out the types of coding that don't suit me and find ones that are strewn throughout dozens of other texts.
Excelent in-depth reference for inexperienced and experienced researchers alike. Very well written, very comprehensive. A great companion book for those who seek to very thorough in their analysis of qualitative research.
This book gives an excellent overview of coding methods and is a great resource for qualitative researchers. It is easy to read and clear throughout. From chapter three on I didn't read the whole chapter, instead picking and choosing certain coding methods to read thoroughly.
Saldaña does a really good job of making a potentially dry textbook engaging. Dare I say, I even chuckled once or twice. Which coding method(s) is (are)appropriate for your particular study? Read this book to find out!
this was actually really informative and made me excited to code? it’s definitely more of a handbook and referral type resource so i did not need to read it as extensively as i did.
Great book for novice qualitative researchers. Saldana’s approach is pragmatic and therefore he doesn’t treat qualitative coding as a mechanical activity. Rather coding helps in landscaping and supporting the analysis.