I apologise in advance if I explain this poorly - this is all somewhat new to me.

I'm currently doing a small piece of classroom research looking at the effects of two different types of teacher feedback. It's very small (n30).

I was recently told that to keep the number of tests to a minimum I should be using MANOVA, but I'm not entirely convinced this is the case.

Do I need multivariate analysis when:

1) I have three groups (2 different treatments, and 1 control), each of which received a different treatment over 4 sessions.

2) I am looking to compare these groups on two outcome variables, but I am not interested in the relationship between these two variables (only how the three groups fare in each).

If a MANOVA is appropriate, my understanding is that there is no non-parametric MANOVA. I was told that if I just ranked my data, and then used a parametric test, this would effectively be the same as a non-parametric MANOVA. Does this make sense?

Many thanks in advance for any suggestions.