When a statistical equation incorporates a multiplicative term in an attempt to model interaction effects, the statistical significance of the lower-order coefficients is largely useless for the typical purposes of hypothesis testing. This fact remains largely unappreciated in political science, however. This brief article explains this point, provides examples, and offers some suggestions for more meaningful interpretation.I am grateful to Tim McDaniel, Anne Sartori, and Beth Simmons for comments on a previous draft.
PhDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Political scientists often theorize that an explanatory variable shouldhave “no effect ” and support...
Recent attempts to improve on the quality of psychological research focus on good practices required...
Multiplicative interaction models are common in the quantitative political science literature. This ...
Multiplicative interaction models are common in the quantitative political science literature. This ...
The concomitant proliferation of causal modeling and hypotheses of multiplica-tive effects has broug...
used to test for the presence of interactions. When an interaction term is composed of correlated va...
Many political theories posit interaction between two variables in influencing a dependent variable....
The principle focus of this paper is on interpretation of interactions that are obtained when respon...
In recent decades, political science literature has experienced significant growth in the popularity...
There is substantial confusion in political science and related literatures about the meaning and in...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Many areas of political science focus on causal questions. Evidence from statistical analyses is oft...
This is the final version. Available on open access from Cambridge University Press via the DOI in t...
State politics scholars often confront data situations where explanatory variables in a model are hi...
PhDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Political scientists often theorize that an explanatory variable shouldhave “no effect ” and support...
Recent attempts to improve on the quality of psychological research focus on good practices required...
Multiplicative interaction models are common in the quantitative political science literature. This ...
Multiplicative interaction models are common in the quantitative political science literature. This ...
The concomitant proliferation of causal modeling and hypotheses of multiplica-tive effects has broug...
used to test for the presence of interactions. When an interaction term is composed of correlated va...
Many political theories posit interaction between two variables in influencing a dependent variable....
The principle focus of this paper is on interpretation of interactions that are obtained when respon...
In recent decades, political science literature has experienced significant growth in the popularity...
There is substantial confusion in political science and related literatures about the meaning and in...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Many areas of political science focus on causal questions. Evidence from statistical analyses is oft...
This is the final version. Available on open access from Cambridge University Press via the DOI in t...
State politics scholars often confront data situations where explanatory variables in a model are hi...
PhDBiostatisticsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
Political scientists often theorize that an explanatory variable shouldhave “no effect ” and support...
Recent attempts to improve on the quality of psychological research focus on good practices required...