Replication Data for: Compression and Conditional Effects

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.既往政治方法论领域的研究指出，若研究者仅因变量间的压缩现象而怀疑存在交互效应，则无需在逻辑回归模型中纳入乘积项以检验交互效应。笔者对此观点不予认同，并通过分析论证与模拟实验证据表明：当研究者错误地基于压缩效应构建交互效应的理论假设时，未纳入乘积项的模型会对研究者产生偏倚，有时甚至会显著误导其得出存在交互效应的结论。不过，模拟研究同时显示，纳入乘积项的模型能够极佳地适配多种非交互效应的变量关系模式，仅需简单加入乘积项，即可大幅消除研究者误判存在交互效应的偏倚。