定性比较分析
星团(航天器)
趋同(经济学)
货币
比较研究
比较案例
航程(航空)
定性分析
计算机科学
工作(物理)
政策分析
定性研究
区域科学
计量经济学
经济
社会学
宏观经济学
政治学
社会科学
程序设计语言
材料科学
语言学
机械工程
工程类
哲学
法学
复合材料
机器学习
标识
DOI:10.1080/01900692.2014.880849
摘要
Qualitative Comparative Analysis (QCA) is a well-established method for comparing national public policy similarities and differences. It is argued that Cluster Analysis can add additional benefits to such research when used concurrently with QCA. Cluster Analysis provides a better method for the initial exploration of multivariate data and examining how countries compare because it can work with the full range of available interval data while patterns are created and viewed. This provides the best first method for exploring patterns and likely groupings of countries. QCA then provides a more robust method for theorizing about the construction of such groupings and their relationship around similar variable scores. QCA makes such theorizing transparent. The research example used to illustrate the benefits of combining Cluster Analysis and QCA is an analysis of the evolving of macroeconomic policy for the countries sharing the Euro, comparing 2005 (precrisis) with 2010 (postcrisis).
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