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

Social Sciences

Tsung-han Tsai¹ 

[1] Department of Political Science, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130-4899, USA; E-Mail:

关键词: generalized linear models;    interaction effects;    first differences;    personal vote-earning attributes;   

DOI  :  10.3390/socsci2020091

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.