I am using multiple regression with the backward elimination method. I have one control variable (social desirable responding) and four predictor variables (gender and three self-esteem constructs). My dependent variable is risky sexual behavior. I entered social desirable responding in the first block and selected "backward" as the method. I entered the four predictor variables in the second block and selected "backward" as the method.
My questions are:
Am I supposed to examine the results with the just the main effects, determine the IVs that are significant, and run a separate analysis with interaction terms that contain only significant IVs?
If so, should I run the analysis again with all of the main effects in one block and the interaction terms with the significant IVs in another block?
Or should I not run separate analyses for the main effects and interactions, and instead just run them all at one time but in separate blocks?
Thanks so much