Does anyone have any suggestions for how to test for violation of the
sphericity assumption and apply the Huynh-Feldt correction to a
repeated-measure model? My model follows the format below:
Rep.anova=aov(Y~X1*X2+Error(Subject/(X1*X2),data=DataFile))
I've already looked at the explanations aov() and Error() in Baron's
Notes on the use of R for psychology experiments and
questionnaires, which seems like a logical place for this
information, but I didn't see anything. Along a similar line, I'm
also wondering if anyone has suggestions for how to implement post-
hoc analyses on X1, after finding a significant main effect and no
X1:X2 interaction, given that X1 has three levels and each subject in
the analysis has data associated with each level. Thank-you in
advance for your suggestions.
Kyle H. Ambert
Graduate Student, Dept. Behavioral Neuroscience
Oregon Health & Science University
[EMAIL PROTECTED]
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