Labor wrote: http://epm.sagepub.com/cgi/content/abstract/65/5/717
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MIXED results BY condition time group /FIXED = condition time condition*time | SSTYPE(3) /METHOD = REML /PRINT = COVB TESTCOV /RANDOM INTERCEPT group | COVTYPE(VC) /REPEATED = time | SUBJECT(subject) COVTYPE(UN)
It seems logical to me, but I am not sure about that...Labor wrote:1/ I will check it out, but I'm not sure about the interaction between time and condition
Sorry, I did not understand. The relationship is not linear (in the sense that at a certain condition it first increase and then, at the last times, decreases). Maybe plotting is the most correct solution (i do not have very precise assumptions on which kind of trend results could have, since it is mainly an exploratory study).2/ If it's a linear relationship, you can enter these variables at level 1, otherwise you will have to search for the right function or plot it graphically
That is what I was thinking; I know that this approach is "strange", but from a logical point of view it seems to be the correct ones (since I can assume that mean at time 1 is the general level of depandent variable for a certain population... mean across groups are indeed very similar, at time 1).3/ As far as I know, centering is mostly based on all data (grand mean) or for every level 2 unit (group mean), not on the mean at a certain moment. However, since it doesn't change your vector (unless in absolute terms, which indeed can make interpretation more logical), you can distract whatever you want.
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