Hello,
When performing a PROCESS model (Hayes, 2013) for moderation, the overall model was not significant R2 = .03, F(3, 186) = 2.12, p = .100, but one main effect was (b = -.39, SE = .18, p = .031).
My question: is it allowed to interpret the main effect if the overall model is not significant?
And: how do I interpret the effects if the independent variable is a categorical variable? (The dependent variable and the moderator are both interval).
Kind regards
I think we need more details but I think you need a new model.
You could start with a 1 variable model. Hopefully it will still be significant. Then add new variables 1 at a time looking for at least one more significant variable.
If I am employing moderation in secondary time series analysis can I need to proceed with the methodology of time series?
I need some liturature regarding its methodology
Actually my all variables (quantitative) are of mixed order can I still procedd with ARDL approach irrespective of moderation analysis?
If someone guide me / suggest some relavent stuff I shall be very grateful for this favor.
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