This is a question about Random Effects and Grand
Mean Scaling?
the study had two groups with 12 subjects in each group ---
3 runs/subject --- 4 block types repeated across the 3 runs (counter
=
balanced)
-- I created and estimated a fixed effect model for each
individual =
subject treating the three runs as separate sessions ( I
did not =
concatenate runs) --
My concern is this:
since I did
not create a fixed effect model incorporating all subjects =
together I did
not do any 'groupwise' or 'subjectwise' scaling ---- Can =
I (or do I need
to) compensate for this during the random effects =
analysis (two sample
t-test)? Is there way to do scaling across both =
groups to normalize
intensity levels?
Thanks, Sigi =20
