I am conducting a latent growth curve model, and as some of our data is NMAR I included a Pattern Mixture Model, as described in example 11.4 in the User's Guide. As I was trying to interpret means and variances of slopes and intercepts, I realized that the latent growth curve model containing a pattern mixture part, residual variance and intercepts are assigned to the latent slope and latent intercept, but no variance or mean are displayed. Now I am wondering, can I interpret the residual variance of the slope as if it is the variance?
Muthén, B., Asparouhov, T., Hunter, A. & Leuchter, A. (2011). Growth modeling with non-ignorable dropout: Alternative analyses of the STAR*D antidepressant trial. Psychological Methods, 16, 17-33. Click here to view Mplus outputs used in this paper.