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Designing Case Studies : Explanatory Approaches in Small-N Research.

Av: Medverkande: Materialtyp: TextSerie: Utgivningsuppgift: London : Palgrave Macmillan UK, 2012Datum för upphovsrätt: ©2012Utgåva: 1st edBeskrivning: 1 online resource (281 pages)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9781137016669
Ämnen: Genre/form: DDK-klassifikation:
  • 320.072/3
Onlineresurser:
Innehåll:
Cover -- Contents -- List of Figures and Tables -- List of Abbreviations -- Preface and Acknowledgements -- 1 Relevance and Refinements of Case Studies -- 1.1 Case studies as cornerstones for theories and research programs -- 1.2 The case for case study research -- 1.3 The case for a non-fundamentalist and pluralist epistemology -- 1.4 Case study methodology: A brief history and recent contributions -- 1.5 Case studies: Toward a generic and multidimensional definition -- 1.6 Observations: Toward an adequate understanding of case studies -- 1.7 Three approaches to case study research: An overview -- 2 Co-Variational Analysis -- 2.1 Research goals and research questions -- 2.2 Ontological and epistemological foundations and affinities -- 2.3 Selecting cases -- 2.4 The functions of prior knowledge and theory -- 2.5 Drawing causal inferences for the cases under investigation -- 2.6 Measurement and data collection -- 2.7 Direction of generalization -- 2.8 Presenting findings and conclusions -- 2.9 Example of best practice: Zangl's Judicalization Matters! -- 2.10 Summary and conclusions -- 2.11 Appendix: How to make counterfactual analysis more compelling -- 3 Causal-Process Tracing -- 3.1 Research goals and research questions -- 3.2 Ontological and epistemological foundations -- 3.3 Selecting cases -- 3.4 Collecting empirical information -- 3.5 Drawing causal inferences for the case(s) under investigation -- 3.6 Examples -- 3.7 Direction of generalization -- 3.8 Presenting findings and conclusions -- 3.9 Summary -- 4 Congruence Analysis -- 4.1 Research goals and research questions -- 4.2 Ontological and epistemological foundations and affinities -- 4.3 Selecting theories and cases -- 4.4 Formulating expectations and collecting data -- 4.5 Data analysis - The congruence analysis proper -- 4.6 Direction of generalization.
4.7 Presenting findings and conclusions -- 4.8 Summary -- 5 Combining Diverse Research Approaches -- 5.1 Combining approaches and designs: Purposes and possibilities -- 5.2 Combining co-variational analysis and causal-process tracing -- 5.3 Combining congruence analysis and causal-process tracing -- 5.4 Connecting case studies to large-N studies -- 5.5 Connecting case studies to medium-N studies -- 5.6 Preconditions for combining different explanatoryapproaches -- 5.7 Final remarks -- Notes -- Bibliography -- Index -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page.
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Cover -- Contents -- List of Figures and Tables -- List of Abbreviations -- Preface and Acknowledgements -- 1 Relevance and Refinements of Case Studies -- 1.1 Case studies as cornerstones for theories and research programs -- 1.2 The case for case study research -- 1.3 The case for a non-fundamentalist and pluralist epistemology -- 1.4 Case study methodology: A brief history and recent contributions -- 1.5 Case studies: Toward a generic and multidimensional definition -- 1.6 Observations: Toward an adequate understanding of case studies -- 1.7 Three approaches to case study research: An overview -- 2 Co-Variational Analysis -- 2.1 Research goals and research questions -- 2.2 Ontological and epistemological foundations and affinities -- 2.3 Selecting cases -- 2.4 The functions of prior knowledge and theory -- 2.5 Drawing causal inferences for the cases under investigation -- 2.6 Measurement and data collection -- 2.7 Direction of generalization -- 2.8 Presenting findings and conclusions -- 2.9 Example of best practice: Zangl's Judicalization Matters! -- 2.10 Summary and conclusions -- 2.11 Appendix: How to make counterfactual analysis more compelling -- 3 Causal-Process Tracing -- 3.1 Research goals and research questions -- 3.2 Ontological and epistemological foundations -- 3.3 Selecting cases -- 3.4 Collecting empirical information -- 3.5 Drawing causal inferences for the case(s) under investigation -- 3.6 Examples -- 3.7 Direction of generalization -- 3.8 Presenting findings and conclusions -- 3.9 Summary -- 4 Congruence Analysis -- 4.1 Research goals and research questions -- 4.2 Ontological and epistemological foundations and affinities -- 4.3 Selecting theories and cases -- 4.4 Formulating expectations and collecting data -- 4.5 Data analysis - The congruence analysis proper -- 4.6 Direction of generalization.

4.7 Presenting findings and conclusions -- 4.8 Summary -- 5 Combining Diverse Research Approaches -- 5.1 Combining approaches and designs: Purposes and possibilities -- 5.2 Combining co-variational analysis and causal-process tracing -- 5.3 Combining congruence analysis and causal-process tracing -- 5.4 Connecting case studies to large-N studies -- 5.5 Connecting case studies to medium-N studies -- 5.6 Preconditions for combining different explanatoryapproaches -- 5.7 Final remarks -- Notes -- Bibliography -- Index -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page -- Blank Page.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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