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008 211208b ||||| |||| 00| 0 eng d
020 _a9781529731743
082 _a300.72
_bSAL
100 _aSaldana, Johnny
_93701
245 _aThe coding manual for qualitative researchers
260 _bSage Publications Ltd.
_aLondon
_c2021
300 _axxii, 414 p.
365 _aGBP
_b31.99
504 _aTable 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
520 _aThis invaluable manual from world-renowned expert Johnny SaldaƱa 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
650 _aQualitative research
_9983
650 _aSocial sciences--Research
_92057
942 _2ddc
_cBK