By Benoit Rihoux, Heike Grimm
Innovative Comparative equipment for coverage research goals to supply a decisive push to the extra improvement and alertness of cutting edge and particular comparative equipment for the development of coverage research. To tackle this problem, this quantity brings jointly methodologists and experts from a vast variety of social clinical disciplines and coverage fields.
The paintings extra develops tools for systematic comparative circumstances research in a small-N learn layout, with a key emphasis laid on policy-oriented functions. cutting edge Comparative equipment for coverage research is obviously either a social clinical and policy-driven activity; at the one hand, the e-book engages with the intention to extra increase social clinical equipment, yet nevertheless this attempt additionally intends to supply beneficial, utilized instruments for coverage analysts and the "policy neighborhood" alike. although particularly various equipment and strategies are touched upon during this quantity, its concentration is principally laid on lately built examine methods/techniques which permit researchers to systematically examine a restricted variety of circumstances; Qualitative Comparative Analysis(QCA) and Fuzzy-Sets (FS).
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Additional resources for Innovative Comparative Methods for Policy Analysis Beyond the Quantitative Qualitative Divide
This heuristic sets out to deal with six interrelated problems that I have encountered in my effort to enhance the validity of my own conclusions in the context of comparative political and policy-oriented research. These six problems are the subject of the first part of the chapter. The second part discusses the two major studies that advance various techniques of increasing the number of cases in the context of case-oriented designs (Lijphart 1971; King, Keohane, and Verba 1994). My discussion suggests that these techniques pay inadequate attention to the case-oriented logic of research.
4) with the subset relation. Specifically, it is necessary to determine whether degree of membership in each combination of conditions is a subset of degree of membership in the outcome. As explained in Ragin (2000; 2005), the subset relation may be used to assess causal sufficiency. , cases avoiding poverty), then the evidence supports the argument that this combination of conditions is sufficient for the outcome. With fuzzy sets, the subset relation is demonstrated by showing that degree of membership in a combination of conditions is consistently less than or equal to degree of membership in the outcome.
My discussion in this chapter, and the heuristic offered, are framed in Ragin's approach for social science inquiry, yet they are closer in spirit to the simpler and more easily applied small-N design, which does not involve Computer Mediated Methodology (CMM). The drive to formalize comparative techniques of inference follows Smelser's Comparative Methods in the Social Science (1976), where the explicit and implicit techniques of some great comparativists are discussed in detail. The heuristic this chapter advances is grounded in four principals.