Hi list, I have a question about post-hoc analyses using emmeans function. The model I am using has four independent variables, pre-test scores, group (4 levels), time (4 levels), and the interaction between group and time. The dependent variable is post-test scores. I would like to know the differences between the four groups in terms of their post-test scores at each time point while controlling for the effects of pre-test scores. My model is: *mod<-lmer(posttest scores~pre-test scores+group+time+group*time+(1|Subject),data=GJT)* For the post-hoc analyses, I used emmeans. The R code is: *emmeans(mod, list(pairwise~group|time), adjust="bonferroni")* My question is: Do the pair-wise comparisons carried out through emmeans account for the influence of pre-test scores? Because the omnibus test shows that the effect of pre-test scores is significant, I would like to exclude the influence of pre-test scores on pair-wise comparisons. Thank you in advance for any advice. Best, Mengxia
question about emmeans post-hoc analysis
1 message · Mengxia Fu