X. Portilla posted on Friday, February 06, 2015 - 4:48 pm
I am interested in testing invariance in my model between two subgroups in my data. Ultimately, I am interested in understanding whether there are differences between the two groups, and whether the model is appropriate to use with the full sample.
I am considering two options:
1) Run a fully constrained model and then compare it to a fully unconstrained model, using Santorra-Bentler chi-square difference testing since I use MLR. If the difference is significant, follow up with MODEL CONSTRAINT to examine any individual pathway differences.
2) After running a fully constrained model, explore invariance of individual pathways using MODEL CONSTRAINT, irrespective of an overall difference in fit between a constrained and an unconstrained model.
Which option is preferred? Or is there a better solution?