I have a question regarding the interpretation of an interaction effect in my mixed model analysis. There are two groups (experimental and control) and three measurement points (time). In addition several variables are added to the model as covariates. Results show an (just) not significant interaction effect of group x time .
When looking however, at the estimates of fixed effects the beta value for time 1 to time 2 is significant (B=3.23 p=.016.) whereas the beta coeficient for time 1 to time 3 is not significant (B=1.88 p=.166).
As far as I understood, you don’t interpret the estimates of fixed effects when the interaction effect is not significant. Still it seems strange to ignore this significant beta coeficient of p=.016. (I know that the p-value of .050 is arbitrary and discussable, but this is the value I’ll need to use). How could I best report/interpret this?