0

Honestly, I'm hoping I even asked this question appropriately. It's one of those things I never quite grasped, but just accepted to be true, that when running a within-subjects ANOVA, you have to have a lot of subjects or otherwise you can't run the test.

Specifically, this is coming up when I'm attempting to run an analysis with 2 within subjects variables: component (4 levels) and minute (5 levels).

I have 11 subjects total, and when I run my code I get this nice error that sparked my question to actually understand why this occurred (and hopefully, what I should do to fix it!)

R error code message: assumption tests seems to have failed. Most commonly this is because you have too few subjects relative to the number of cells in the within-Ss design.

Could someone first please explain to me why this is true for this type of test so that I can finally learn why this is the case?

Additionally, could someone give me a suggestion on how I may analyze my data as an alternative to using a 2-way RM ANOVA? I cannot run more subjects. In a case like this, would it be appropriate to run two separate one-way ANOVAs, and attempt to adjust the p-value using a Bonferonni correction, or other? Are there any other suggestions on how I might analyze this data?

Thank you in advance!

0 Answers0