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E-raamat: Qualitative Content Analysis: Methods, Practice and Software

  • Formaat: 256 pages
  • Ilmumisaeg: 01-Feb-2023
  • Kirjastus: Sage Publications Ltd
  • Keel: eng
  • ISBN-13: 9781529613070
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  • Formaat: 256 pages
  • Ilmumisaeg: 01-Feb-2023
  • Kirjastus: Sage Publications Ltd
  • Keel: eng
  • ISBN-13: 9781529613070

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Are you working with qualitative data but unsure how to approach your analysis? 

This hands-on guide to qualitative content analysis from two internationally renowned experts provides you with a clear strategy for analysing your data, whether you are working with social media content, field notes, images, narratives or focus group data. Using qualitative interviews as an example, the book provides a clear structure for approaching your analysis that can be adapted for your research project. 

Explaining how qualitative content analysis differs from quantitative methods, the book provides you with:
•a solid understanding of the principles behind QCA 
•a step-by-step guide to three types of QCA
•guidance on how you can use software to enhance your analysis.

A sophisticated, nuanced guide to qualitative content analysis that is inherently qualitative in both its method and its data.

Arvustused

The authors experience as teachers and practitioners of qualitative analysis methods shines throughout this clearly written, well-structured, and stimulating text. Written guidance, supported by an abundance of illustrative examples, provides a thorough foundation that supports strategies for systematically categorising and analysing qualitative data that build from simple description to complex typology development.  -- Pat Bazeley Udo Kuckartz and Stefan Rädiker, have authored an easy-to-understand text addressing qualitative research content analysis. This text has caused me to rethink qualitative data analysis and apply a category system to my own procedures.  I applaud their logical approach, their detailed use of references, and their insight brought to qualitative research. This book will be seen for many years as a leading worldwide text on qualitative data analysis. -- John W. Creswell This book does a fantastic job of discussing the historical and theoretical foundations of QCA together with practical considerations for its use.  The inclusion of real-world examples, advice for using qualitative data analysis software, and creative visual displays makes this revision a great resource for researchers analyzing qualitative data within qualitative and mixed methods approaches. -- Vicki Plano Clark

List of Figures
ix
List of Tables
xi
Preface xiii
About the Authors xviii
1 Conceptual Foundations of Qualitative Content Analysis
1(32)
1.1 Qualitative and Quantitative Data - A Few Clarifications
2(2)
1.2 Qualitative, Quantitative, and Mixed Methods Research
4(2)
1.3 The Challenge of Analysing Qualitative Data in Research Practice
6(2)
1.4 Understanding Meaning, the Role of Prior Knowledge, and Hermeneutics
8(5)
1.5 The Importance of the Research Questions
13(1)
1.6 The Need for Methodological Rigour
14(2)
1.7 The History of Qualitative Content Analysis
16(4)
1.8 Definition of Qualitative Content Analysis and Typical Data Types
20(6)
1.9 Methodological Issues
26(5)
1.10 Summary and Concluding Remarks
31(2)
2 On Categories
33(16)
2.1 The Term `Category'
34(1)
2.2 Different Types of Categories
35(2)
2.3 The Relationship of `Category', `Code', and `Theme'
37(3)
2.4 The Category System
40(3)
2.5 Category Definition, Code Book, and Coding Guide
43(1)
2.6 About Coding
44(2)
2.7 Summary and Concluding Remarks
46(3)
3 Developing Categories
49(30)
3.1 Developing Categories Deductively (Without Using Empirical Data)
51(8)
3.2 Developing Categories Inductively (Using Empirical Data)
59(7)
3.3 Guidelines for Inductive Category Development
66(10)
3.4 Combining Deductive and Inductive Category Development
76(1)
3.5 Summary and Concluding Remarks
77(2)
4 Three Types of Qualitative Content Analysis
79(20)
4.1 General Processes of Qualitative Content Analysis
81(2)
4.2 Cases and Categories as Structuring Dimensions
83(1)
4.3 Similarities and Differences between the Three Types
84(4)
4.4 Quantification in Qualitative Content Analysis
88(2)
4.5 Starting the Analysis: Initial Work with the Text, Writing Memos, and Writing Case Summaries
90(8)
4.6 Summary and Concluding Remarks
98(1)
5 Structuring Qualitative Content Analysis
99(24)
5.1 Characteristics of Structuring QCA
100(1)
5.2 The Example Study
100(1)
5.3 Structuring QCA: Step by Step
101(21)
5.4 Summary and Concluding Remarks
122(1)
6 Evaluative Qualitative Content Analysis
123(18)
6.1 Characteristics of Evaluative QCA
124(1)
6.2 Evaluative QCA: Step by Step
125(12)
6.3 Differences between Evaluative and Structuring QCA
137(2)
6.4 Summary and Concluding Remarks
139(2)
7 Type-Building Qualitative Content Analysis
141(18)
7.1 The Tradition of Type Building in Social Research
142(2)
7.2 Characterization of the Type-Building Approach
144(1)
7.3 The Concept of Attribute Space and the General Procedure of Type Building
144(5)
7.4 Type-Building QCA: Step by Step
149(8)
7.5 Summary and Concluding Remarks
157(2)
8 Using Software
159(34)
8.1 Transcribing and Rules for Transcription
160(6)
8.2 Making the Data Anonymous
166(1)
8.3 Organizing Data and Planning Teamwork
167(1)
8.4 Importing Data into the QDA Software
168(1)
8.5 Tools for Working through the Text: Comments, Memos, Highlighting Passages
169(1)
8.6 Developing Categories Deductively
170(1)
8.7 Developing Categories Inductively Using the Data
171(3)
8.8 Using Software for Structuring QCA
174(3)
8.9 Using Software for Evaluative QCA
177(3)
8.10 Using Software for Type-Building QCA
180(2)
8.11 Advanced Analysis Using QDA Software
182(8)
8.12 Summary and Concluding Remarks
190(3)
9 Quality Standards, Research Report, and Documentation
193(24)
9.1 Quality Standards within QCA
194(1)
9.2 Checklist for Internal Quality
195(2)
9.3 Intercoder Agreement
197(9)
9.4 Validity Checks
206(1)
9.5 Transferability and Generalization
207(2)
9.6 Research Report and Documentation
209(5)
9.7 Summary and Concluding Remarks
214(3)
Final Remarks 217(2)
References 219(10)
Index 229
Udo Kuckartz is Professor of Research Methodology in the Department of Education at Philipps-University Marburg, Germany.