Programming the statistical procedures from SAS

repeated measures anova assumptions

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repeated measures anova assumptions

I am conducting a repeated measures anova with the follwing code:

 

proc glm data=data;

  class exposure;

  model pre post = exposure;

  repeated time 2;

run;

 

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?

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