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

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Author Info

  • Tsung-han Tsai

    ()
    (Department of Political Science, Washington University in St. Louis, One Brookings Drive, St. Louis,MO 63130-4899, USA)

  • Jeff Gill

    ()
    (Department of Political Science, Division of Biostatistics, and Department of Surgery, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130-4899, USA)

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    Abstract

    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.

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    Bibliographic Info

    Article provided by MDPI, Open Access Journal in its journal Social Sciences.

    Volume (Year): 2 (2013)
    Issue (Month): 2 (May)
    Pages: 91-113

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    Handle: RePEc:gam:jscscx:v:2:y:2013:i:2:p:91-113:d:25541

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    Related research

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

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