Hi Daniel, yes, it is true for an unbalanced design. The values that are 
being compared are averages. If you compared the average of a group of 
15 to the average of a group of 5, you would not scale the averages by 
the number of members in the group.

doug

daniel geisler wrote:
>
> Hi Freesurfers,
>
>  
>
> I am currently dealing with some examples of group analysis from 
> freesurfer-wikipages (see 
> http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G0V). Could you please 
> give some clarifications in the following scenario:
>
>  
>
> Assume we have four groups MaleRight, MaleLeft, FemaleRight, and 
> FemaleLeft (from factors gender and handedness). Now we want to set a 
> contrast that is equivalent to the question: "Is there a difference 
> between Males and Females regressing out the effects of handedness?"
>
>  
>
> An appropriate contrast would be [0.5 0.5 -0.5 -0.5].
>
> (see 
> http://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf4G0V#Contrast5male-female.mtx) 
>
>
>  
>
> Is that also true for an imbalanced design, where MaleRight and 
> MaleLeft consist of 15 and 5 subjects, respectively? I suspect that in 
> this case the above contrast would weigh MaleLeft more heavily, i.e. 
> each subject in this rather small subgroup would have a greater effect 
> on the final result.
>
>  
>
> If that is true - I am wondering whether the contrast [0.75 0.25 ...] 
> would fix this issue, i.e. adjust for the unbalanced design. Do you 
> have any ideas?
>
>  
>
> Best,
>
> Daniel
>
> ------------------------------------------------------------------------
>
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
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