03-28-2017 09:38 PM
I am conducting a repeated measures anova with the follwing code:
proc glm data=data;
model pre post = exposure;
repeated time 2;
I am wondering if the normality assumptions on the outcome need to be for the change in the post - pre scores here? Do I output residuals like a normal anova to assess this? if there is a violation, do I transform both the pre and the post scores?