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The Coding Manual for Qualitative Researchers
A comprehensive reference manual that profiles 35 distinct coding methods and analytic strategies qualitative researchers can use to transform raw textual and visual data into categories, themes, concepts, and theory.
A profile of this book is on the way.
What it’s about
The Coding Manual for Qualitative Researchers is Johnny Saldaña's authoritative, mentorship-toned compendium of how to code qualitative data—and why coding matters as a heuristic for thinking analytically about social life. Rather than prescribing a single methodology, the book lays out a diverse repertoire of first cycle and second cycle coding methods (Grammatical, Elemental, Affective, Literary and Language, Exploratory, Procedural, Themeing, Grounded Theory, and Cumulative), each profiled with sources, descriptions, applications, examples, analysis, and notes. Saldaña frames coding as the critical link between data collection and meaning-making, illustrating how codes become categories, categories become themes and concepts, and concepts ultimately lead to assertions and theory. With practical guidance on analytic memo writing, software (CAQDAS), data management, visual data analysis, and the writing-up of findings, the manual serves graduate students and seasoned scholars across disciplines as an on-demand toolkit for choosing 'the right tool for the right analytic job.'
The through-line
- Who it’s for
- A qualitative researcher—graduate student, faculty member, or practitioner—who has collected interview transcripts, field notes, documents, or visual data and wants to analyze them rigorously and meaningfully.
- The problem
- They have a large, messy corpus of qualitative data and no clear, systematic way to transform it into credible findings, categories, themes, or theory. They feel overwhelmed, anxious, and fearful that they are 'not doing it right' and may be missing the deeper meanings in their data.
- The plan
- Read and understand what codes and coding are and the codes-to-theory model.
- Learn fundamental techniques: data layout, lumping vs splitting, codebooks, and software options.
- Write analytic memos continuously to reflect on and generate codes, categories, and theory.
- Select appropriate first cycle coding method(s) aligned with your research questions and pilot-test them.
- Transition to second cycle methods to reorganize, condense, and synthesize codes into categories, themes, and concepts.
- The payoff
- The researcher confidently codes, categorizes, and synthesizes data into trustworthy findings, themes, concepts, assertions, or theory. · They achieve intimate familiarity with their data and make new discoveries, insights, and connections. · They produce a coherent, well-organized, evidence-supported written report or presentation.
See our guide
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Additional reading
- The Organism · Kurt Goldstein
Maslow sources the term 'self-actualization' from Goldstein and builds upon his holistic view of the organism.
- Explorations in Personality · H. A. Murray, et al.
Cited as providing an 'excellent discussion' on the basic principle of centering motivation theory on goals rather than instigation or behavior.
- Social Interest · Alfred Adler
Maslow credits Adler and his followers for stressing the importance of the 'esteem needs,' which he felt were neglected by Freudian psychoanalysts.
- Wisdom of the Body · W. B. Cannon
Provides the foundational concept of 'homeostasis,' which Maslow uses as the starting point for his discussion of physiological needs.
- Multipliers · Liz Wiseman
Explores how leaders can either amplify ('multiply') or diminish ('diminish') the intelligence and capabilities of their teams, a key concept for creating a positive, low-anxiety environment.
- The Fearless Organization · Amy Edmondson
Provides the foundational research and practical steps for creating psychological safety, which the book identifies as crucial for reducing interpersonal anxiety and encouraging people to speak up.
- Mindset · Carol Dweck
Explains the difference between a 'growth mindset' and a 'fixed mindset,' which is presented as a key tool for helping employees manage perfectionism and see failures as learning opportunities.
- Crucial Conversations · Kerry Patterson, Joseph Grenny, et al.
Recommended as a resource for employees to learn how to navigate difficult, high-stakes conversations, directly addressing the book's theme of moving from conflict avoidance to healthy debate.
- Better Allies · Karen Catlin
The author is quoted on specific, actionable steps for allyship, making her book a practical guide for implementing the principles in Chapter 7.
- Blindspot: Hidden Biases of Good People · Mahzarin R. Banaji and Anthony G. Greenwald
Explains the science of implicit bias, which is central to the book's argument that leaders need to be proactive allies because 'not being racist/sexist' isn't enough.