Applied thematic analysis:
"This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but is also useful for theoretically oriented qualitative research. The book c...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Los Angeles
Sage
[2012]
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Zusammenfassung: | "This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but is also useful for theoretically oriented qualitative research. The book covers all aspects of the qualitative data analysis process including planning, data preparation, identification of themes, codebook development and code application, reliability and inter-coder agreement, data reduction techniques, comparative techniques, integration with quantitative data, and software considerations. The book describes what the authors call "applied thematic analysis", because it is the approach predominantly used in applied qualitative studies (and increasingly in academic contexts). The method employs a phenomenological approach to data analysis which has a primary aim of describing the experiences and perceptions of research participants. The approach presented is similar to Grounded Theory - in that it is inductive, content-driven, and searches for themes within textual data - and is complementary to Grounded Theory on many levels. However, within an applied context a phenomenological approach is primarily concerned with characterizing and summarizing perceptions and lived experiences and applying the results to a particular research problem, rather than building and assessing theoretical models".. |
Beschreibung: | Includes bibliographical references and indexes |
Beschreibung: | xx, 295 Seiten Illustrationen, Diagramme 24 cm |
ISBN: | 9781412971676 |
Internformat
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245 | 1 | 0 | |a Applied thematic analysis |c Greg Guest FHI 360, Social Research Solutions, Kathleen M. MacQueen FHI 360, Emily E. Namey Duke University, Social Research Solutions |
264 | 1 | |a Los Angeles |b Sage |c [2012] | |
264 | 4 | |c © 2012 | |
300 | |a xx, 295 Seiten |b Illustrationen, Diagramme |c 24 cm | ||
336 | |b txt |2 rdacontent | ||
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500 | |a Includes bibliographical references and indexes | ||
520 | |a "This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but is also useful for theoretically oriented qualitative research. The book covers all aspects of the qualitative data analysis process including planning, data preparation, identification of themes, codebook development and code application, reliability and inter-coder agreement, data reduction techniques, comparative techniques, integration with quantitative data, and software considerations. The book describes what the authors call "applied thematic analysis", because it is the approach predominantly used in applied qualitative studies (and increasingly in academic contexts). The method employs a phenomenological approach to data analysis which has a primary aim of describing the experiences and perceptions of research participants. The approach presented is similar to Grounded Theory - in that it is inductive, content-driven, and searches for themes within textual data - and is complementary to Grounded Theory on many levels. However, within an applied context a phenomenological approach is primarily concerned with characterizing and summarizing perceptions and lived experiences and applying the results to a particular research problem, rather than building and assessing theoretical models".. | ||
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Datensatz im Suchindex
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---|---|
adam_text | BRIEF
CONTENTS
Preface
xiii
Acknowledgments
xvii
About the Authors
xix
1.
Introduction to Applied Thematic Analysis
3
2.
Planning and Preparing the Analysis
21
3.
Themes and Codes
49
4.
Validity and Reliability (Credibility and Dependability)
in Qualitative Research and Data Analysis
79
5.
Supplemental Analytic Techniques
107
6.
Data Reduction Techniques
129
7.
Comparing Thematic Data
161
8.
Integrating Qualitative and Quantitative Data
187
9.
Choosing Qualitative Data Analysis Software
217
10.
Writing Up Thematic Analyses
241
Glossary
279
Author Index
283
Subject Index 287
DETAILED CONTENTS
Preface
xiii
Acknowledgments
xvii
About the Authors
xix
1.
Introduction to Applied Thematic Analysis
3
Defining Qualitative Research
5
Analytic Purpose
7
Qualitative Data Types
8
Thematic Analysis
10
Theoretical Considerations
11
Applied Research
1 1
Grounded Theory
12
Phenomenology
13
Interpretivism and Positivism
14
Applied Thematic Analysis
15
Summing Up
16
References
18
Additional Reading
20
2.
Planning and Preparing the Analysis
21
Establishing Analytic Objectives
22
Analysis to Improve the Data Collection Process
22
Analysis to Answer a Research Question
27
The Quick and Targeted Analysis
30
Summing Up
31
Writing an Analysis Plan
34
Choosing an Analytic Approach
35
Exploratory Analysis
36
Explanatory Analysis
37
Confirmatory Analysis
39
Comparative Analysis: Special Considerations
39
A Brief Note on Theory
40
Bounding the Analytic View
40
Prioritizing Analyses From a Large Database
4
1
Assessing Strengths and Weaknesses in Data
44
Summing Up
References
.. 47
fcxcrciscs
Additional Reading
49
3.
Themes and Codes
Text Segmentation
The Relationship Between Segmenting and Coding
52
The Centrality of the
Codebook 52
Structural Coding
Fractured Structure Ol
Flagging Poor Data
63
Coding to Identify Speakers
63
Coding for Content
64
Discovering Themes
65
Search for Themes: An Example
67
Winnowing Themes
67
Creating an Effective
Codebook 71
The Lumper-Splitter Issue
73
Linking Themes to Theoretical Models
75
Summing Up: Good
Codebook
Practice
75
References
76
Exercises
76
Appendix
77
Additional Reading
78
4.
Validity and Reliability (Credibility and Dependability)
in Qualitative Research and Data Analysis
79
Validity
80
Reliability
81
Applying the Concepts of Validity
and Reliability in Qualitative Inquiry
83
Enhancing Validity and Reliability in Qualitative Research
85
During Research Design
86
During Analysis and Interpretation
89
Summing Up
98
References
101
Exercises
104
Additional Reading
106
5.
Supplemental Analytic Techniques
107
Word Searches
Ю7
Codebook
Development
Ю8
Gap Analysis
Ю9
Providing More Detail on a Theme
Strengths and Limitations of Word Searches
and
К
WC U2
Analyzing uevi ant/
Negat
ive
Cases
113
Optimizing Focus Group Data
118
Response Interdependence
119
Capturing Interaction
120
Nonverbal Data
121
Implications for Analysis
122
Summing Up
124
References
125
Exercises
126
Additional Reading
127
6.
Data Reduction Techniques
129
What Counts?
132
How Do We Count?
132
Uses for Quantifying Qualitative Data
133
Frequencies: How and What to Count
135
Describing Participants
135
Describing Thematic Content
137
Understanding Code Frequencies
138
Generating and Interpreting Code Frequencies
139
Co-occurrences
142
A Word of Caution
144
Similarity Matrices
145
Graph Theoretic Techniques: The Example of
Cluster Analysis
147
When Is Quantification Appropriate?
151
Purpose
153
Structure
154
Ambiguity
155
Summing Up
156
References
156
Exercises
157
Additional Reading
159
7.
Comparing Thematic Data
161
Qualitative Comparisons
162
Quantitative Comparisons
171
Direct Comparison
179
Summing Up
Itti
lol
References
183
Exercises
184
Appendix
185
Additional Reading
186
8.
Integrating Qualitative and Quantitative Data
187
Mixed Methods Research 187
A Summary of Mixed Methods Typologies
Typologies
and Real-World Complexity 192
The Distinction Between Theory and Practice
195
Mechanics of Data Integration
198
Exploratory Sequential
19°
Explanatory Sequential
200
Concurrent
202
Mixed Methods Designs and Thematic Analyses
205
Summing Up
211
References
212
Exercises
214
Additional Reading
214
9.
Choosing Qualitative Data Analysis Software
217
A Brief History
218
General Considerations
220
QDAS as a Data Management Tool
221
QDAS as a Data Tagging Tool
222
QDAS as a Data Exploration and Reduction Tool
222
Study Size and Complexity
223
Features and Functions to Consider
225
Logistics
225
Team-Based Functions
233
Data Types
234
Coding
234
Data Exploration and Reduction Features
234
Summing Up
239
References
239
Exercises
240
Additional Reading
240
10.
Writing Up Thematic Analyses
241
Writing for Your Audience
242
Corporate and Lay Audiences
242
A cademic/Scientific A udiences
243
Funders
245
Guidelines for Qualitative Research
247
Writing the Methods
Section
248
Basic Study Parameters
248
Sampling
248
Data Collection and Processing Procedures
250
Data Analysis Processes
253
Writing the Findings
or Results
Section
253
Finding Your Anchor
255
Structuring the Findings / Results
Narrative
259
Additional Key Elements of the Results
Section
264
Presenting Mixed Methods Research
268
Anchor and Structure
268
Guidelines for Mixed Methods Studies
269
Summing Up
271
References
273
Exercises
277
Appendix
278
Additional Reading
278
Glossary
279
Author Index
283
Subject Index
287
|
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author | Guest, Greg 1963- MacQueen, Kathleen M. Namey, Emily E. |
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author_sort | Guest, Greg 1963- |
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dewey-search | 001.4/2 |
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illustrated | Illustrated |
indexdate | 2024-07-10T01:16:25Z |
institution | BVB |
isbn | 9781412971676 |
language | English |
lccn | 011031161 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027688604 |
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owner | DE-473 DE-BY-UBG DE-526 DE-11 |
owner_facet | DE-473 DE-BY-UBG DE-526 DE-11 |
physical | xx, 295 Seiten Illustrationen, Diagramme 24 cm |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Sage |
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spelling | Guest, Greg 1963- Verfasser (DE-588)1090242107 aut Applied thematic analysis Greg Guest FHI 360, Social Research Solutions, Kathleen M. MacQueen FHI 360, Emily E. Namey Duke University, Social Research Solutions Los Angeles Sage [2012] © 2012 xx, 295 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and indexes "This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups - i.e., transcripts. The book is primarily designed for research studies with an applied focus, but is also useful for theoretically oriented qualitative research. The book covers all aspects of the qualitative data analysis process including planning, data preparation, identification of themes, codebook development and code application, reliability and inter-coder agreement, data reduction techniques, comparative techniques, integration with quantitative data, and software considerations. The book describes what the authors call "applied thematic analysis", because it is the approach predominantly used in applied qualitative studies (and increasingly in academic contexts). The method employs a phenomenological approach to data analysis which has a primary aim of describing the experiences and perceptions of research participants. The approach presented is similar to Grounded Theory - in that it is inductive, content-driven, and searches for themes within textual data - and is complementary to Grounded Theory on many levels. However, within an applied context a phenomenological approach is primarily concerned with characterizing and summarizing perceptions and lived experiences and applying the results to a particular research problem, rather than building and assessing theoretical models".. Sozialwissenschaften Social sciences Research Methodology Qualitative reasoning Datenanalyse (DE-588)4123037-1 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Methodologie (DE-588)4139716-2 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Methodologie (DE-588)4139716-2 s Datenanalyse (DE-588)4123037-1 s DE-604 MacQueen, Kathleen M. Verfasser (DE-588)1065460341 aut Namey, Emily E. Verfasser (DE-588)1060701472 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027688604&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Guest, Greg 1963- MacQueen, Kathleen M. Namey, Emily E. Applied thematic analysis Sozialwissenschaften Social sciences Research Methodology Qualitative reasoning Datenanalyse (DE-588)4123037-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methodologie (DE-588)4139716-2 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4055916-6 (DE-588)4139716-2 |
title | Applied thematic analysis |
title_auth | Applied thematic analysis |
title_exact_search | Applied thematic analysis |
title_full | Applied thematic analysis Greg Guest FHI 360, Social Research Solutions, Kathleen M. MacQueen FHI 360, Emily E. Namey Duke University, Social Research Solutions |
title_fullStr | Applied thematic analysis Greg Guest FHI 360, Social Research Solutions, Kathleen M. MacQueen FHI 360, Emily E. Namey Duke University, Social Research Solutions |
title_full_unstemmed | Applied thematic analysis Greg Guest FHI 360, Social Research Solutions, Kathleen M. MacQueen FHI 360, Emily E. Namey Duke University, Social Research Solutions |
title_short | Applied thematic analysis |
title_sort | applied thematic analysis |
topic | Sozialwissenschaften Social sciences Research Methodology Qualitative reasoning Datenanalyse (DE-588)4123037-1 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methodologie (DE-588)4139716-2 gnd |
topic_facet | Sozialwissenschaften Social sciences Research Methodology Qualitative reasoning Datenanalyse Methodologie |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027688604&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT guestgreg appliedthematicanalysis AT macqueenkathleenm appliedthematicanalysis AT nameyemilye appliedthematicanalysis |