Journal
POLITICAL SCIENCE RESEARCH AND METHODS
Volume 4, Issue 3, Pages 621-639Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1017/psrm.2015.59
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Funding
- Center for Computational Research at the University at Buffalo
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Previous research in political methodology argues that researchers do not need to include a product term in a logistic regression model to test for interaction if they suspect interaction due to compression alone. I disagree with this claim and offer analytical arguments and simulation evidence that when researchers incorrectly theorize interaction due to compression, models without a product term bias the researcher, sometimes heavily, toward finding interaction. However, simulation studies also show that models with a product term fit a broad range of non-interactive relationships surprisingly well, enabling analysts to remove most of the bias toward finding interaction by simply including a product term.
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