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Titlebook: Case Studies and Causal Inference; An Integrative Frame Ingo Rohlfing Book 2012 Palgrave Macmillan, a division of Macmillan Publishers Limi

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Process Tracing: Theory, Temporality, and Method,ng therefore misrepresents the potential of these instruments. For this reason, I reserve a consideration of many aspects that one knows from the process tracing literature for Chapter 8 as this chapter takes a view on causal inference that covers cross-case and within-case analysis alike.
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From Evidence to Inference: Use of Sources and Counterfactuals,ussion of frequentist and Bayesian causal inference and the similarities and differences between them. The present chapter describes the methodsrelated steps and problems that one confronts in the collection of evidence and in inferring that a cause or causal mechanism is or is not operative.
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External Validity and Generalization: Challenges and Strategies,or determining the likelihood that the generated results are due to chance or to systematic cause–effect relationships.. The lack of such an instrument gave rise to the assertion that case study researchers have to assume deterministic cause–effect relationships in order to generalize at all (Lieberson 1991; Munck 2005).
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Politics, Careers and Elections, study method rests. The chapter therefore is not about the philosophical foundations of . case study method but more narrowly about case studies interested in inferences about empirical regularities.
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Management, Work and Organisations of cross-case inferences. It starts with the problem of suboptimal comparisons and relates them to the multidimensional nature of cases. It is shown how one can invoke these dimensions in the construction of comparisons in order to approach as closely as possible the envisaged ideal design.
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Recasting Hardy the Poet (1996), was that case studies can be used for the building, testing, and modification of hypotheses on both the cross-case and the within-case level. The remainder of the chapter gives a broader evaluation of the degree to which case studies are suitable for the generation of causal inferences on regularities.
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