Not Quite Crisp, Not Yet Fuzzy? Assessing the Potentials and Pitfalls of Multi-value QCA
Not Quite Crisp, Not Yet Fuzzy? Assessing the Potentials and Pitfalls of Multi-value QCA
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不是很脆，还不是模糊？
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Olaf van Vliet
中科院分区：
文献类型：
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作者：
Maarten P. Vink;Olaf van Vliet
本文评估了多值定性比较分析(MvQCA)的优点和缺点，mvQCA是一种中小型数据集的比较技术，已集成到Lasse Cronqvist开发的TOSMANA软件中。与“明确集”QCA的主要区别是，在mvQCA中，条件可以有更多的值，而不只是布尔值0和1，而与“模糊集”QCA的主要区别是，mvQCA条件保持离散。根据其支持者的说法，非二分分类的主要优势是，它减少了相互矛盾的配置的可能性，因为案例的分组更加相似。我们给出了现有的mvQCA应用的概述，并详细讨论了最近的两篇文章，并认为由于mvQCA的解决方案伴随着相当大的集合论成本，所以不应该那么容易丢弃精确集和模糊集替代方案。
This article assesses the strengths and shortcomings of multi-value qualitative comparative analysis (mvQCA), a comparative technique for small- to medium-sized data sets that has been integrated in the TOSMANA software developed by Lasse Cronqvist. The main difference with “crisp-set” QCA is that in mvQCA, the conditions can have more values than just the Boolean values 0 and 1, whereas the main difference with “fuzzy-set” QCA is that mvQCA conditions remain discrete. The major advantage of nondichotomous categorization, according to its proponents, is that it reduces the likelihood of contradictory configurations because of a more homogeneous grouping of cases. We give an overview of existing mvQCA applications, with a detailed discussion of two recent publications, and argue that crisp-set and fuzzy-set alternatives should be less easily discarded, as the mvQCA solution comes with substantial set-theoretical costs.