Hi all,
For some time now, I cannot figure out what is going on with a moderation model (model 1) with a covariate that I'm running.
IV = categorical, two groups, dummy coded (lockdown (T2) or no lockdown condition (T1))
DV = continuous (mental illness)
M = continuous (resilience)
Covariate = gender (dummy coded)
I set the conditioning values at 16th, 50th and 84th percentiles. Further, I mean centred the continuous variables.
The overall model is significant.
When I run the data for visualizing the conditional effect of the focal predictor, I get a graph that I do not think is right. Resilience is pictured on the x-axis, mental illness on the y-axis, and the lockdown or no lockdown condition is noted as two variables (0 and 1) on the upper right side of the graph. I always thought that that is where the moderator should be, not the IV. That's why I'm confused.
Can somebody explain to me what is going on or what I perhaps should do differently in the analysis? A big thank you in advance :)