MANOVA and repeated measure ANOVA are used in very different situations. A MANOVA is a multivariate ANOVA and is used when one has multiple (often correlated) dependent variables wants to look for differences amongst treatment groups in all dependent variables. A repeated measure ANOVA is used when there is a single dependent variable but one has multiple measurements of it for each subject. The repeated measure ANOVA is used to separate within- and across-subject variability within a treatment group. It's hard to tell from the information supplied if a repeated measure ANOVA is what you want, but if you only have one dependent variable (in your case MAE) then you won't be able to use a MANOVA.
All that said, if you're doing model selection, you should probably penalize the models that use more parameters with an information theoretic approach like AIC or BIC.