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Fuzzy-set method in comparative social policy: a critical introduction and review of the applications of the fuzzy-set method

机译:模糊集方法在比较社会政策中的应用:模糊集方法的应用的批判性介绍和回顾

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摘要

This article critiques the Fuzzy-set Qualitative Analysis (fs/QCA) methodology by examining its applicability in three studies in the field of comparative social policy. In each of these three test cases, I focus on the validity of fuzzy-set’s claimed function—its ability to combine theoretic discourse and evidence analysis. All three studies investigate welfare state reform in the late twentieth century and apply fs/QCA: (1) “Welfare Reform in the Nordic Countries in the 1990s: Using Fuzzy-set Theory to Assess Conformity to Ideal Types,” (2) “States of Welfare or States of Workfare? Welfare State Restructuring in 16 Capitalist Democracies, 1985–2002,” and (3) “The Diversity and Causality of Welfare State Reforms Explored with Fuzzy-sets.” This article begins by discussing the ontology and epistemology of comparative social policy. The fuzzy set logic and set theoretic nature of social science theory is then discussed to align the ontology with fuzzy set methodology. Next, a more detailed introduction of fuzzy-set method (fs/QCA) is followed. This study suggests that fs/QCA is a unique and useful method for comparative social policy. It advances quantitative analysis by exploring cases configurationally and also advances the qualitative analysis by applying the fuzzy set logic and the principle of calibration.
机译:本文通过审查模糊集定性分析(fs / QCA)方法论在比较社会政策领域的三项研究中的适用性,来对它进行批评。在这三个测试案例中,我都着眼于模糊集所声称的功能的有效性-它结合了理论论述和证据分析的能力。所有这三项研究都调查了20世纪后期的福利国家改革并应用了fs / QCA:(1)“ 1990年代北欧国家的福利改革:使用模糊集理论评估对理想类型的符合性”,(2)“国家福利或工作状态? 1985-2002年16个资本主义民主国家的福利国家重组”,和(3)“用模糊集探讨福利国家改革的多样性和因果关系。”本文首先讨论比较社会政策的本体论和认识论。然后讨论了社会科学理论的模糊集逻辑和集理论性质,以使本体论与模糊集方法保持一致。接下来,将对模糊集方法(fs / QCA)进行更详细的介绍。这项研究表明,fs / QCA是比较社会政策的一种独特且有用的方法。它通过配置案例来进行定量分析,并通过应用模糊集逻辑和标定原理来进行定性分析。

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