A simple multivariate test for asymmetric hypotheses
A simple multivariate test for asymmetric hypotheses
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DOI：
10.1093/pan/mpj018
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发表时间：
2006-06-01
影响因子：
5.4
通讯作者：
Golder, M
中科院分区：
文献类型：
--
作者：
Clark, WR;Gilligan, MJ;Golder, M
在这篇文章中，我们认为必然性和充分性主张涉及一种在许多社会科学背景下有用的不对称因果主张。与一些定性研究人员相反，我们坚持认为，这种不对称并不应该导致学者背离标准的社会科学实践。我们认为确定性和单因果检验在社会世界中是不合适的，并证明了标准的乘性交互模型能够以多变量、概率的方式处理不对称因果声明的任务。我们用经验文献中的例子来说明我们的论点，这些文献将选举制度与政党制度规模联系起来。
In this paper, we argue that claims of necessity and sufficiency involve a type of asymmetric causal claim that is useful in many social scientific contexts. Contrary to some qualitative researchers, we maintain that there is nothing about such asymmetries that should lead scholars to depart from standard social science practice. We take as given that deterministic and monocausal tests are inappropriate in the social world and demonstrate that standard multiplicative interaction models are up to the task of handling asymmetric causal claims in a multivariate, probabilistic manner. We illustrate our argument with examples from the empirical literature linking electoral institutions and party system size.