Hi,

My understanding is that the SPSS method of saving and testing a residual for each level of the repeated measures variable(s) is incorrect. However, at the moment jamovi doesn't offer an alternative.

I've just written slides recommending that our students compute an average and a difference of the repeated measures, i.e. MEAN(L1,L2,L3) and L1-MEAN(L2,L3), and then run one-way ANOVA or t-tests on those scores in order to run normality tests. For the difference score I feel like I should add a second orthogonal contrast (e.g. L2-L3) but equally, since there is only one within-subjects residuals term surely the is a single set of residuals? The degrees of freedom for the residuals suggest levels-1 residuals per participant, but does it matter which orthogonal contrasts are chosen. Of course, ideally I would like to test the normality of two difference columns simultaneously without having to copy and paste them into extra rows -- which is beyond what I'm happy to ask my students to do.

Best wishes,

Wakefield