Hi, I just did a search on google, tinking this must be a common question, but didn't find much.
I'm doing a multi-factor repeated measures ANOVA, A(5) x B(3) x C(2). I'm getting big main effects as expected, but the interaction is what is of most interest, particularly between levels 4 & 5 of factor A, and levels 3 & 4 of factor B. I believe polynomial contrasts involve the use of coefficients in order to test for linear (and above) trends. But I can conceive how the coefficients could be structured to look at the differences between two levels of a 5-level factor. But what I can not imagine is how to use it to compare interaction between two factors. I'm using SPSS and when doing my fully repeated measures design, it does not offer me the option of doing post hoc tests. I think I've read that one can not do post hocs on repeated measures, yet messages in this newsgroup have indicated otherwise (on google). Any assistance would be most appreciated. Jim -- Watch out for spam block List of online jazz guitar instruction websites: http://www-personal.umich.edu/~jimkk/jazzfast.html . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
