I am trying to compare the following two models. Model A is a simple regression where the main endogenous latent variable is perfectly measured by a vocabulary test score. Model B is akin to a MIMIC model where the endougenous latent variable predicts the 10 individual items on the test, presumably extracting the shared variance. What is the best way to show that Model B is better than Model A? The r-squared of the latent variable in Model B is better than Model B, but is there some formal test (the models are non-nested). The likelihood functions appear to be different, since they are very off from each other. Thanks! I can e-mail the code for the models.