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Interactions in Generalized Linear Models: Theoretical Issues and an Application to Personal Vote-Earning Attributes

机译:广义线性模型中的相互作用:理论问题及其对个人投票收益属性的应用

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There is some confusion in political science, and the social sciences in general, about the meaning and interpretation of interaction effects in models with non-interval, non-normal outcome variables. Often these terms are casually thrown into a model specification without observing that their presence fundamentally changes the interpretation of the resulting coefficients. This article explains the conditional nature of reported coefficients in models with interactions, defining the necessarily different interpretation required by generalized linear models. Methodological issues are illustrated with an application to voter information structured by electoral systems and resulting legislative behavior and democratic representation in comparative politics.
机译:政治科学和整个社会科学都对具有非时间间隔,非正态结果变量的模型中的相互作用效应的含义和解释感到困惑。通常,这些术语会随意地放入模型规范中,而不会观察到它们的存在从根本上改变了所得系数的解释。本文解释了相互作用模型中报告系数的条件性质,定义了广义线性模型所需的必然不同的解释。通过在选举制度构成的选民信息中应用方法论问题,以及由此产生的立法行为和比较政治中的民主代表制,阐述了方法论问题。

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