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I am using linear mixed models to identify important factors, and it turns out that:
B: not significant
Does it mean that because
B shows that the effect of
A depends on the effect of
B, only the effect of
A is not actually significant?
I have read many sources, and they seem to suggest that if the effect of
B is significant, then we cannot interpret that the effect of
A is significant on our dependent variable. Am I understanding right?