I am testing moderation hypothesis using MLR in which i have a few control variables included as well. In search of the answer how to do it, I came across this suggestion by Kristopher J. Preacher (Vanderbilt University) posted on his website "If the regression equation involves continuous covariates not involved in interactions, then the recommended approach is to pick the mean value for each covariate and then follow the procedure above for plotting and probing interactions (West, personal communication, April 2001). For dichotomous covariates, the model is interpreted for the case when the dichotomous covariate equals zero (the reference group)."
I wonder if there is also another reference I could use for the approach, other than personal communication Prof. Preacher mentions.
And, of course, any methodological advice is highly appreciated.
Hello Salome,
Have a look at the 2022 text by Andrew F. Hayes: Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). New York: Guilford Press. Chapter 7 should cover you (though 8-10 are also useful). As well, his free macros set, PROCESS, is available for SPSS, SAS, and R.
Good luck with your work.
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