Hi Gang--
Following up...
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However, you may consider using 3dttest++ or 3dRegAna for your next question.
Do you have suggestions for how to implement a shared-variance analysis with 3dttest++ or 3dRegAna?
I would think it could be done with just 3dMVM, with a little work beforehand in Matlab or Excel. For example, say we have predictor variables X and Y that are correlated and we want to see the relation of their shared variance to Z. What if I were to enter two qvars into 3dMEMA: 1) X residualized against Y (i.e., X with no shared variance with Y in it); and 2) just X. Wouldn't the marginal effect of X in this model give me what I'm looking for? Check my thinking?
Many thanks!
Paul