I am learning mixed models and while reading different materials I still have a couple of questions that I could not find answers.
If I have 2 or more fixed effects and if the interaction is not significant can I just drop the interaction term and re run the model?
If the interaction is significant in LMMs should I follow the same procedure as Anova for multiple comparisons? Similarly for non-significant interaction? What is the method for this kind of situation? I saw in different webs people say in LMM do not explain p values? I can’t understand that?