In my data I want to be able to determine which set of IVs (there are 8 variables total, 4 in each set) does a better job of predicting a set a DVs (there are 4). I know I could use multivariate regression to use all DVs in the same analyses, but I don't know how to group the IVs into 2 sets. On the other hand I could look at incremental validity using linear regression and putting the different IV sets into different blocks, but in SPSS (maybe that is my problem…) you can only have one DV.
Solved – Regression with multiple dependent variables and 2 sets of multiple independent variables
multivariate analysisregressionspss
Best Answer
If your DVs are correlated then yes it makes sense to do multivariate multiple regression. See Regression with multiple dependent variables?