Designing Case Studies [electronic resource] : Explanatory Approaches in Small-N Research /
Blatter, J.author.
Haverland, M.author.
The authors explore three ways of conducting causal analysis in case studies. They draw on established practices as well as on recent innovations in case study methodology and integrate these insights into coherent approaches. They highlight the core features of each approach and provide advice on each step of the research process.
Description based upon print version of record.
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 Analysis2.1 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 questions3.2 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 generalization4.7 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
Includes bibliographical references (pages 245-255) and index.
The authors explore three ways of conducting causal analysis in case studies. They draw on established practices as well as on recent innovations in case study methodology and integrate these insights into coherent approaches. They highlight the core features of each approach and provide advice on each step of the research process.
Political science.
Teaching.
Public policy.
Political Science.
Teaching and Teacher Education.
Science, Humanities and Social Sciences, multidisciplinary.
Public Policy.