Hi,
For two groups of participants and 6 conditions for each group, I
constructed a second level design matrix with group modeled
independently and the 6 conditions modeled dependently to correct for
non-sphericity.
Given a ROI, I tried to extract the individual beta values from this
design matrix by using the eigenvariate. However, the mean values did
not correspond to the mean values from the plot function (contrast
estimates and 90% C.I.).
How do I retrieve the individual beta values from such a design matrix?
Thanks.
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Best wishes,
HweeLing
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