Gabe
No, the blavcompare need to have the same data/outcomes in the model. Once we use composite variables versus factors, you are changing the structure of the data and the comparasiosns are not longer valid
You can look at the model with factors, and evaluate if the data is very well behaved, might be good enough to use composite variables. But this would required very high overall fit indices, and very high R2 for the factor indicators. When you creaste comosite variables you are assuming that the relation between the factor and the items is perfect (R2 = 1)
In general I would recommend to use the model with factors instead of composite scores
take care