Hi
I study how gender can moderate the relation between driving self-efficacy and the tendency to get distracted while driving. I found a non significant self-efficacy*gender interaction effect (p=.19). However when I looked at the plot I found this (attached file).
I don't know what to do with this... Can you help?
Hi,
It is difficult to answer the question without taking a look at the entire PROCESS output (assuming you used PROCESS). Was your sample size relatively small? did you find main effects for the X and W variables?
Hi
My sample size is 1623.
Here is the PROCESS output. ZSDDQ is for distraction, ZAE is for self-efficacy and sexe is for gender.
I would look into the role of the covariates - Is the interaction significant when they are removed from the analysis? If the interaction in the "clean" model (i.e., without covariates) is still insignificant, then I would be extremely cautious of its viability. If it is significant, maybe you can check whether your research question necessitates controlling for the covariates you included in your analysis.
Good Luck!
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