scholarly journals How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice – CORRIGENDUM

2019 ◽  
Vol 28 (1) ◽  
pp. 146-146 ◽  
Author(s):  
Jens Hainmueller ◽  
Jonathan Mummolo ◽  
Yiqing Xu
Keyword(s):  
Multiplicative Interaction ◽  
Interaction Models

scholarly journals How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice

2018 ◽  
Vol 27 (2) ◽  
pp. 163-192 ◽  
Author(s):  
Jens Hainmueller ◽  
Jonathan Mummolo ◽  
Yiqing Xu
Keyword(s):  
Political Science ◽  
Interaction Effects ◽  
Linear Interaction ◽  
Multiplicative Interaction ◽  
Interaction Models ◽  
Conditional Effects ◽  
Common Support ◽  
Constant Rate ◽  
Independent Variable ◽  
The Relationship

Multiplicative interaction models are widely used in social science to examine whether the relationship between an outcome and an independent variable changes with a moderating variable. Current empirical practice tends to overlook two important problems. First, these models assume a linear interaction effect that changes at a constant rate with the moderator. Second, estimates of the conditional effects of the independent variable can be misleading if there is a lack of common support of the moderator. Replicating 46 interaction effects from 22 recent publications in five top political science journals, we find that these core assumptions often fail in practice, suggesting that a large portion of findings across all political science subfields based on interaction models are fragile and model dependent. We propose a checklist of simple diagnostics to assess the validity of these assumptions and offer flexible estimation strategies that allow for nonlinear interaction effects and safeguard against excessive extrapolation. These statistical routines are available in both R and STATA.

Understanding Interaction Models: Improving Empirical Analyses

2006 ◽  
Vol 14 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Thomas Brambor ◽  
William Roberts Clark ◽  
Matt Golder
Keyword(s):  
Political Science ◽  
Good Reason ◽  
Institutional Context ◽  
The Political ◽  
Science Literature ◽  
Multiplicative Interaction ◽  
Interaction Models ◽  
Political World ◽  
Context Models ◽  
The Relationship

Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress in our understanding of the political world can occur if scholars follow the simple checklist of dos and don'ts for using multiplicative interaction models presented in this article. Only 10% of the articles in our survey followed the checklist.

Linguistic Interactions: A Therapeutic Consideration for Adults With Aphasia

2008 ◽  
Vol 17 (3) ◽  
pp. 93-98
Author(s):  
Lynn E. Fox
Keyword(s):  
Clinical Outcomes ◽  
Social Contexts ◽  
Interaction Models ◽  
Social Communities ◽  
Wernicke's Aphasia ◽  
Communication Challenges ◽  
Therapeutic Consideration ◽  
Patterns Of Interaction ◽  
Structural Language

Abstract Linguistic interaction models suggest that interrelationships arise between structural language components and between structural and pragmatic components when language is used in social contexts. The linguist, David Crystal (1986, 1987), has proposed that these relationships are central, not peripheral, to achieving desired clinical outcomes. For individuals with severe communication challenges, erratic or unpredictable relationships between structural and pragmatic components can result in atypical patterns of interaction between them and members of their social communities, which may create a perception of disablement. This paper presents a case study of a woman with fluent, Wernicke's aphasia that illustrates how attention to patterns of linguistic interaction may enhance AAC intervention for adults with aphasia.

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