Hi Steve,
I replied before on your answer, but since I dont see it on the
mailinglist I decided to post it again.
First: thanks for your suggestions!
I readily applied your fixed effects solution to my one subject problem.
However, if I continue this study more subjects will be sampled and a
mixed-effects model will be of interest to me. Is my approach (see below)
then the most efficient or would you suggest a different approach for this
analysis?
1. Single subject - per run analysis (creating 8 feat dirs)
2. Single subject - grouping data over A fix A
and over B fix B
runs (resulting in 2 gfeat dirs)
3. Multi subject analysis having one EV for the A B difference,
plus an EV for each subject to model each subjects mean effect (similar to
the Paired Two-Group Difference example).
Thanks,
Niels
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