Dera Drs. Muthen, I am running a two-part cross-sectional model. If I do not specify an estimator, the default estimator is WLSMV. However, I thought that, because the MCAR assumption is not met for two-part modeling, the estimator ML had to be used. I want to test for indirect effects in the context of the 2-part model and, thus, would like to use WLSMV as the estimator, if possible. Can I use WLSMV as the estimator w/ cross-sectional data and 2-part modeling?
Mirim Kim posted on Thursday, November 10, 2016 - 9:59 am
Dear Dr. Muthen,
I'm running a two-part model for measurement invariance testing without using "Data Twopart" default. I thought I might use other estimator without the default. However, there was a convergence problem, and output said that paired binary variable and continuous variable were highly correlated. Does that mean the default algorithm makes this problem subtle?
Under MLR, I found one of alpha parameters (found in tech 1 for latent class regression model part) was estimated, and that was a very small value. Could you explain what does that mean?
I appreciate your answer in advance!
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART (tech 1)