Hello everyone,

I have a mixed effect model in which I am modeling an interaction between two continuous variables. The interaction between them is significant. Can anyone recommend a method to tease apart this interaction? For standard multiple regression, one would compute simple slopes from the regression equation. Is the same done for mixed effect models? Just for the sake of argument, let's say my model is below. In case it is important to know, I also have some covariates in the model, but I'm modeling only the main effect of the covariate. Again, I am interested in teasing apart the interaction between the two continuous predictors:

lmer(DV ~ var1 * var2 + cov1 + (1|Subject) + (1|item), data=dat)

Thank you in advance.

Chris

Christopher A. Kurby
Assistant Professor of Psychology
Grand Valley State University
Allendale, MI 49401
phone: 616-331-2418
email: kurbyc@gvsu.edu<mailto:kurbyc@gvsu.edu>




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