Record Details

Replication Data for: Compression and Conditional Effects

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: Compression and Conditional Effects
 
Identifier https://doi.org/10.7910/DVN/ASSC0Y
 
Creator Rainey, Carlisle
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject Social Sciences
 
Contributor Rainey, Carlisle