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
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer