Innovative Comparative Methods for Policy Analysis: Beyond by Benoît Rihoux, Heike Grimm (auth.), Benoît Rihoux, Heike

By Benoît Rihoux, Heike Grimm (auth.), Benoît Rihoux, Heike Grimm (eds.)

Innovative Comparative tools for coverage Analysis goals to supply a decisive push to the extra improvement and alertness of leading edge and particular comparative tools for the advance of coverage research. To tackle this problem, this quantity brings jointly methodologists and experts from a large diversity of social clinical disciplines and coverage fields.

The paintings additional develops equipment for systematic comparative circumstances research in a small-N examine layout, with a key emphasis laid on policy-oriented purposes. cutting edge Comparative tools for coverage Analysis is obviously either a social clinical and policy-driven undertaking; at the one hand, the ebook engages on the way to extra increase social medical equipment, yet nonetheless this attempt additionally intends to supply beneficial, utilized instruments for coverage analysts and the ‘policy group’ alike. although relatively numerous tools and methods are touched upon during this quantity, its concentration is especially laid on lately built study methods/techniques which permit researchers to systematically examine a restricted variety of instances; Qualitative Comparative Analysis(QCA) and Fuzzy-Sets (FS).

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S analysis. 2 A Fuzzy-Set Re-Analysis The success of any fuzzy-set analysis is dependent on the careful construction and calibration of fuzzy sets. The core of both crisp-set and fuzzy-set analysis is the evaluation of set-theoretic relationships, for example, the assessment of whether membership in a combination of causal conditions can be considered a subset of membership in the outcome. , the fuzzy set of individuals not in poverty). Thus, it matters a great deal how fuzzy sets are constructed and how membership scores are calibrated.

1. 4 in the combined presence of these four conditions (see Ragin 2000 for a discussion of the use of the minimum when assessing membership in combinations of sets). , in the set of individuals successfully avoiding poverty), it would be possible to evaluate the degree to which membership in each combination of causal conditions is a fuzzy subset of membership in this outcome. In effect, these analyses assess the degree to which individuals conforming to each row consistently avoid poverty. Such assessments are conducted using fuzzy membership scores, not dichotomized scores, and they utilize a stricter definition of the subset relation than is used in crisp-set analyses (Ragin 2005).

Still, gracious and important as these efforts indeed are, they may lead us astray, if, say, bridging the divide compromises the meta-goal of all sciences, namely the production and dissemination of knowledge through adversarial or critical modes of inquiry. To suggest that there is only one logic for all social science research is one example of unproductive ways of trying to bridge the divide. Not only does the advocacy of *one logic' ignore the plurality of goals in social science research (seven according to Ragin 1994), it ignores the plurality of heuristics, which connects ideas and evidence in the social sciences.

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