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Dear Statistics Experts

we performed a multivariate analysis of covariance (MANCOVA) between two groups 
using fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity 
(RD), 
and mean diffusivity (MD) of the inferior fronto-occipital fasciculus as 
dependent variables. 

Because the two groups differ also in global (across the whole white matter) 
FA, AD, RD and MD values, we used all these four measures simultaneously as 
covariates
of no interest.

However, some authors challenge the usage of all four global measures 
simultaneously as covariates of no interest and denoted this procedure an 
inappropriate “overcorrection”.

Is this procedure statistically problematic?

Is it more appropriate to first regress out the global effect of each single 
measure and then run the multivariate analysis just on the residuals performing 
an MANOVA instead of a
MANCOVA model?

Any suggestions is highly appreciated.

Thanks in advance
Best regards
Jürgen Hänggi

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University of Zurich
Dr. Jürgen Hänggi, Ph.D.
Department of Psychology
Division Neuropsychology
Binzmuehlestrasse 14, PO Box 25 
8050 Zurich, Switzerland

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