how to process decent residual analysis in repeated measures? I know that the residuals should have normal distribution (altogether an in every level of repeated factor too), but is there any other way to examine the residuals?

I am considering Levene's test to chcek if the variances among factor levels (particular repeated observations) are similar + plot it.

In linear regressions, I used to plot residuals to predicted values, but since in ANOVA the "predicted" are repeated means, how to adjust the analysis? I think about making absolute values of residuals (or not absolute?) and test all pairs by t-test (or other ANOVA for residuals).

Any help would be perfect, any idea how to enhance the analysis would be priceless!

Thank you,

M.

PS: would be the analysis the same in between-subject design (the same as repeated).