Designing case studies : explanatory approaches in small-n research
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. Designing Case Studies explores three different ways of conducting causal analysis in case studies: co-variational analysis, causal-process tracing and congruence analysis. It is an inclusive account of case study methodology which covers all the major explanatory approaches, and is also the first book to present congruence analysis in detail as a distinct case study approach. Differentiating the three approaches to case study research allows the authors to present each as a coherent and consistent way of drawing causal inferences by studying one or a few cases in-depth. The authors highlight the core features of each approach and provide helpful advice for each step of the research process, including: formulating research questions and goals, selecting theories and cases, data generation, data analysis and generalization. They also show how case studies can fruitfully be combined with statistical analysis and Qualitative Comparative Analysis
Print Book, English, 2012
Palgrave Macmillan, New York, NY, 2012