Designing case studies[electronic re...
Blatter, Joachim, (1966-)

 

  • Designing case studies[electronic resource] :explanatory approaches in small-n research /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 320.072/3
    書名/作者: Designing case studies : explanatory approaches in small-n research // Joachim Blatter, Markus Haverland.
    作者: Blatter, Joachim,
    其他作者: Haverland, M.
    出版者: Houndmills, Basingstoke, Hampshire ; : Palgrave Macmillan,, 2012.
    面頁冊數: 1 online resource.
    標題: Political science - Research
    標題: Social sciences - Research
    標題: Case method.
    標題: POLITICAL SCIENCE - Government
    標題: POLITICAL SCIENCE - Public Policy
    標題: POLITICAL SCIENCE - Government
    標題: EDUCATION - Teaching Methods & Materials
    標題: POLITICAL SCIENCE - Essays.
    標題: POLITICAL SCIENCE - Government
    標題: POLITICAL SCIENCE - Reference.
    ISBN: 9781137016669 (electronic bk.)
    ISBN: 1137016663 (electronic bk.)
    書目註: Includes bibliographical references.
    內容註: Relevance and Refinements of Case Studies -- Co-variational Analysis -- Causal-Process Tracing -- Congruence Analysis -- Combining Diverse Research Approaches -- Bibliography.
    摘要、提要註: 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.
    電子資源: http://www.palgraveconnect.com/doifinder/10.1057/9781137016669
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