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Coding Manual for Qualitative Researchers By Saldaña

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Binding: Paperback
Language: English
ISBN: 978-1473902497
Reader’s Age: Adults 18+ (Graduate Students, Researchers, Academics)
Ships Within: 5–10 Business Days
Author: Johnny Saldaña
Release Date: April 23, 2025
Genre: Educational & Academic

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Description

The Coding Manual for Qualitative Researchers: A Complete Guide to Coding Methods for Students and Researchers

About the Book

The Coding Manual for Qualitative Researchers is the go-to reference for anyone learning how to code and analyze qualitative data. Now in its fifth edition, it walks readers through more than 35 coding methods with real datasets, software screenshots, and updated guidance on working alongside AI tools in research.

About the Author

Johnny Saldaña is Professor Emeritus from Arizona State University’s School of Film, Dance, and Theatre. His work on qualitative methods has been cited in over 16,000 research studies across more than 130 countries, making him one of the most trusted voices in the field.

Who Is This Book For?

This book is ideal for graduate students, doctoral candidates, and academic researchers working on dissertations, theses, or formal studies in education, social sciences, health care, or business. If you have ever stared at a pile of interview transcripts and wondered where to even begin, this manual gives you a clear starting point.

Frequently Asked Questions (FAQs)

Is this book good for beginners in qualitative research?
Yes. Saldaña explains each coding method in plain language with worked examples, so even first-time researchers can follow along and apply the techniques to their own data.

Does this book cover computer-assisted coding software?
Yes, it includes practical guidance on CAQDAS tools and digital data handling alongside traditional manual coding approaches.

Is this edition updated for AI-assisted research?
Yes, the fifth edition addresses how researchers can integrate AI tools like ChatGPT into their coding and analysis workflow while maintaining research credibility.

Additional information
Weight650 g
Dimensions16.99 × 2.11 × 24.21 cm
Short Summary

Readers will learn how to identify codes within raw qualitative data, choose the right coding method for their specific research design, and move confidently from first cycle to second cycle coding. The book covers everything from grounded theory and narrative inquiry to newer methods like metaphor coding, along with guidance on using CAQDAS software and AI tools responsibly. By the end, researchers gain a structured, repeatable process for turning messy data into meaningful findings.

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