Saldana, Johnny <br/><br/>
The coding manual for qualitative researchers 

 - London  Sage Publications Ltd.  2021 
 - xxii, 414 p. 
<br/><br/>Table of content<br/><br/>Part I: Coding Foundations<br/>  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  <br/>Part II: First Cycle Coding Methods<br/>  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  <br/>Part III: Second Cycle Coding Methods<br/>  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 
<br/><br/> This invaluable manual from world-renowned expert Johnny Saldaņa 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:<br/><br/>A structural reformat has increased accesibility; the 3 sections from the previous edition are now spread over 15 chapters for easier sectional reference<br/>There are two new first cycle coding methods join the 33 others in the collection: Metaphor Coding and Themeing the Data: Categorically<br/>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<br/>Analytic software screenshots and academic references have been updated, alongside several new figures added throughout the manual<br/>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.<br/>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 
<br/><br/><label>ISBN: </label>9781529731743 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Qualitative research<br/>Social sciences--Research
<br/><br/><label>Dewey Class. No.: </label>300.72  / SAL