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] [[alternative HTML version deleted]]
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