Can you give more detail? Are you saying that you have a group of, say, 5 predictor variables, and you want to know what the association is of those 5 variables on an outcome variable Y, and then what total
variance is explained by 3 of the 5 variables, while still accounting for the common variance in the other two variables? Or are you asking what amount of variance in a group of 5 variables is explained by a separate group of 3 variables? Or, are you asking
this in more scalar terms, and wanting to know which variables account for the greatest amount of variance within the collective latent variable that they collectively make up. In the latter, we have the same 5 variables, combined and they explain mood stability,
and you want to know what amount of the total explainability 3 of the 5 variables have? Thanks.
Matthew J Poes
Research Data Specialist
Center for Prevention Research and Development
University of Illinois
From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of Mark W. Andrews
Sent: Wednesday, December 14, 2011 12:49 PM
To: [hidden email]
Subject: Comparing 2 groups of variables
I am trying figure out how much of the variance within a group of variables is explained by the a subgroup of variables. Can anyone point me in the right direction?
Mark W. Andrews
Senior Study Director
Synovate
7600 Leesburg Pike, East Building, Suite 110
Falls Church, VA 22043
Phone 703-663-7237
FAX 703-790-9181
Email [hidden email]
Web www.synovate.com
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