
This paper argues that political scientists incorrectly theorize interaction effects due to variable compression alone, leading to biased results if product terms aren't included in logistic regression models. While simulation studies show models with product terms fit non-interactive relationships surprisingly well, removing the bias toward finding spurious interactions is possible by including this term.

| Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction was authored by Carlisle Rainey. It was published by Cambridge in PSR&M in 2016. |
