I am analyzing pre- and post- intervention data for which I have 6 dependent variables for two groups (treatment, no treatment). I want to know if, controlling for pre scores from the 6 measures, post scores differ between the two groups. (Some DVs show significant correlations with each other.)
I want to know whether a MANCOVA is appropriate, with all 6 DVs and the corresponding 6 pre tests entered as covariates, or whether running a separate ANCOVA for each DV and the corresponding pre test as covariate is more appropriate.
Other ideas for analysis are welcome, thank you in advance.