I have 20 subjects looking at 6 different categories of images, 40 trials per categori. I have 4 numerical variables I measure for each trial:

20 subjects x 6 categories x 40 trials = 4800 trials

Each trial gives 4 numerical values

I want to know if categories differ significantly from each other, when you look at the 4 variables, if yes which.

Right now I have for each subject made a one way anova for each variable, followed by a Turkey post hoc. But it dosen't look that nice when you have 20 sets of results and try to sum it up..

(I was told that you could not use the one way anova on a mean across the subjets, that is why I have done it for each subject)

I really hope someone can tell me a better way to do it.. THANKS!

/Karsten