Dear Experts,
In full factorial design option is it different to specify one factor with
four levels (a1b1; a1b2; a2b1; a2b2) or two factors (A,B) with two levels
(a1,a2 and b1,b2)? I think that in the former situation I have a pooled
error as when I used one-way anova within subjects in spm2 (spm does not
know the factorial structure) while in the latter situation I have a
partitioned error (spm knows the factorial structure). Is this correct?
I have ran the two models: the design matrixes are the same and the results
are strongly similar. Is this plausible or should I get some differences for
example in matrix structure?
Thank you.
Federico.
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