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Designing case studies: explanatory approaches in small-n research

By: Contributor(s): Series: Research Methods SeriesPublication details: New York Basingstoke Palgrave Macmillan 2012Description: xviii, 262 pISBN:
  • 9780230249691
Subject(s): DDC classification:
  • 320.0723 B5D3
Summary: 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, and data analysis. They also show how to draw conclusions beyond the cases under investigation and show how case studies can fruitfully be combined with statistical analysis and Qualitative Comparative Analysis. (http://www.palgrave.com/page/detail/designing-case-studies-joachim-blatter/?isb=9780230249691)
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Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 320.0723 B5D3 (Browse shelf(Opens below)) Available 187559
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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, and data analysis. They also show how to draw conclusions beyond the cases under investigation and show how case studies can fruitfully be combined with statistical analysis and Qualitative Comparative Analysis.
(http://www.palgrave.com/page/detail/designing-case-studies-joachim-blatter/?isb=9780230249691)

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