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Fuzzy-Set Social Science

 

在這種創新的社會科學實踐方法中，Charles Ragin探討了使用模糊集來彌合定量和定性方法之間的鴻溝。矛盾的是，模糊集合是一個強大的工具，因為它用一個精確的（一個明確定義的集合中的隸屬度）替換了一個笨拙的“模糊”工具（變量只建立了案例相對於彼此的位置） 。Ragin認為，模糊集允許社會研究中的想法和證據之間的對話比以前更加豐富。

他們讓定量研究人員放棄關於案例和原因的“同質化假設”，它們延伸了以多樣性為導向的研究策略，並為理論和數據分析提供了強有力的聯繫。最重要的是，模糊集合可以精心設計以適應不斷發展的理論概念，通過定性的，面向事件的查詢獲得深入的知識來豐富定量工具。本書不僅應該對社會學，政治學和人類學的研究方法進行革新，而且還應該研究處理複雜因果關係的任何研究領域。

 

In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrument (the variable, which establishes only the positions of cases relative to each other) with a precise one (degree of membership in a well-defined set). Ragin argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible.

They let quantitative researchers abandon "homogenizing assumptions" about cases and causes, they extend diversity-oriented research strategies, and they provide a powerful connection between theory and data analysis. Most important, fuzzy sets can be carefully tailored to fit evolving theoretical concepts, sharpening quantitative tools with in-depth knowledge gained through qualitative, case-oriented inquiry. This book should revolutionize research methods not only in sociology, political science and anthropology but in any field of inquiry dealing with complex patterns of causation.

 Charles C. Ragin (Autor)

Publisher:University of Chicago Press 

ISBN:    978-0226702773 

原價   US 20 台幣價 NT$780 

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