The coding manual for qualitative researchers

Table of content

Part I: Coding Foundations
Chapter 1: An Introduction to Codes and Coding Chapter 2: Fundamental Coding Methods and Techniques Chapter 3: Writing Analytic Memos about Narrative and Visual Data
Part II: First Cycle Coding Methods
Chapter 4: Selecting First Cycle Coding Methods Chapter 5: Grammatical Coding Methods Chapter 6: Elemental Coding Methods Chapter 7: Affective Coding Methods Chapter 8: Literary and Language Coding Methods Chapter 9: Exploratory Coding Methods Chapter 10: Procedural Coding Methods Chapter 11: Methods of Themeing the Data
Part III: Second Cycle Coding Methods
Chapter 12: Transitioning from First to Second Cycle Coding Methods Chapter 13: Second Cycle Grounded Theory Coding Methods Chapter 14: Second Cycle Cumulative Coding Methods Chapter 15: After First and Second Cycle Coding Methods

This invaluable manual from world-renowned expert Johnny Saldaña illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels. The fourth edition includes a range of updates that build upon the huge success of the previous editions:

A structural reformat has increased accesibility; the 3 sections from the previous edition are now spread over 15 chapters for easier sectional reference
There are two new first cycle coding methods join the 33 others in the collection: Metaphor Coding and Themeing the Data: Categorically
Includes a brand new companion website with links to SAGE journal articles, sample transcripts, links to CAQDAS sites, student exercises, links to video and digital content
Analytic software screenshots and academic references have been updated, alongside several new figures added throughout the manual
It remains the only book that looks specifically at coding qualitative data, as a core but often neglected skill that researchers and students alike need to effectively make sense of their data and to identify patterns, before they can analyse the material.
Saldana presents a range of coding options with advantages and disadvantages to help researchers to choose the most appropriate approach for their project, reinforcing their perspective with real world examples, used to show step-by-step processes and to demonstrate important skills