In recent research I pursue a MANOVA model on a dataset comprised of 50 measured characters and several grouping factors that I need to test. When I use something like this
summary(manova(malesM ~ popMales*manageMales*biomeMales), test = "Wilks")
I get 2.2e-16 significance for every possible output (also with other tests beside Wilks). The same thing I noticed when I use dummy, randomly generated factors. My data comes from a real-life study and I really can not belive that almost any theoretical, grouping factor will be significant. Any advice on how to refine my model, and to test this further?