Hello, I have a study design which requires a multi-factorial ANOVA. Basically, I have 3 groups: Patients and two control groups. Each group performed a lower-limb functional test, starting with each leg, and with two different heights (sorry I can't elaborate more). I originally performed four comparisons, for each combination: Right-low. Right-high. Left-low. Left-high. However, due to multiple comparisons, post-hoc corrections ravage my p-values. Plus, I figured a more elegant way may exist. Enter multifatorial ANOVA. I tried to create a model where I have group, leg and height as fixed factors. It works fine, but that means that I have 4 times as many degrees of freedom as participants. This does not feel right. Am I even allowed to do that?