|
|
Testing invariance with model constraint |
|
Message/Author |
|
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? Many thanks, Ximena |
|
|
If you believe that most parameters are invariant I would start with a fully constrained model and then use Modindices to check for constraints that need to be freed up. If you believe that few parameters are invariant I would start with the fully unconstrained model and add constraints to check which don't fit. |
|
X. Portilla posted on Monday, February 09, 2015 - 12:22 pm
|
|
|
Thank you for your prompt reply, Dr. Muthen! |
|
Back to top |
|
|