hi all -
i am seeking a way to see how 4 levels of 1 factor among multiple
subjects are different from one another,(where A is different from
{B,C,D}, B from {A,C,D}, etc...)
I believe this is the ANOVA: 1-factor, 4 levels(repeated measures) as
described in the FEAT webpage.
( as a side note, isn't the ANOVA: 1 factor, 4 levels graphic on the
webpage really for 2 subjects and not 8 as stated in the paragraph? )
i *think* i understand how the analysis works. however, i don't see why
a fourth contrast is not necessary; for levels A,B,C,D, don't we want to
know if each is different from the mean(A,B,C,D) ? with the method
described on the webpage, as i understand it, i only get A vs.
mean(A,B,C,D), B vs. mean(A,B,C,D), and C vs. mean(A,B,C,D).
thoughts?
thanks in advance.
-ram
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Ram Pratiwadi
Research Assistant, University of Pennsylvania
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