比较政治分析中的模糊集方法被引量：71

Fuzzy-Set Methods in Comparative Political Analysis

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摘要在比较政治分析中,模糊集定性比较方法(fsQCA)是近年来刚兴起而又得到了广泛应用的一种方法。通过梳理比较方法从密尔法到布尔法的演变,以及从清晰集定性比较(csQCA)到模糊集定性比较的发展脉络,可以展示出模糊集定性比较方法在研究设计中的重要价值。将模糊集定性比较方法与多值集定性比较方法(mvQCA)和回归分析分别进行比较,可以进一步跟踪模糊集方法取得突破性进展的两个新兴领域。模糊集方法与统计方法相比,具有独特价值;然而亦有其不足。作为一种小样本比较的方法,模糊集比较方法已经在演绎和归纳这两方面奠定了研究基础。 Fuzzy-set qualitative comparative analysis （fsQCA） is a new promising approach in comparative political analysis. Its Important Value in research design is demonstrated through skeletonizing the evolution of comparative method from Mill＇s methods to Boolean method and the development from crisp set QCA （csQCA） to fsQCA. The two forefront areas in fsQCA are revealed by comparing it with mvQCA and regression analysis. FsQCA has shown its advantage and disadvantage compared with regression analysis. As a small sample comparative method, fsQCA has produced a series of research outcome based on deductive and inductive logic.

作者何俊志

机构地区复旦大学国际关系与公共事务学院复旦大学选举与人大制度研究中心

出处《社会科学》 CSSCI 北大核心 2013年第5期30-38,共9页 Journal of Social Sciences

关键词比较政治定性比较分析模糊集 Comparative Politics Qualitative Comparative Analysis Fuzzy-set

分类号 D0 [政治法律—政治学]

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