Lots of latent variables with varianc... PreviousNext
Mplus Discussion > Categorical Data Modeling >
 genwei posted on Wednesday, September 09, 2015 - 6:18 am
Hi Professors,

EXAMPLE 7.26 showed how to model a latent variables with variance zero, and it is easy to extend it to multiple latent variables case. However, in my model, I get 18 such latent variables (or even more). Running mplus will tremendously consume memory (over 8GB) and extremely slow (ALGORITHM=INTEGRATION; and Monte Carlo seems will not solve the problem). I also tried BAYES method, but it seems not working for my model including ON command yet. My question is any alternative way to overcome this estimation problem?
 genwei posted on Wednesday, September 09, 2015 - 6:22 am
And, I prefer to use ML method rather than WLSMV because of nonignorable missing data existing (simulation data).
 Linda K. Muthen posted on Wednesday, September 09, 2015 - 5:10 pm
I don't this problem can be done.
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