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Lots of latent variables with varianc... |
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genwei posted on Wednesday, September 09, 2015 - 6:18 am
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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? |
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genwei posted on Wednesday, September 09, 2015 - 6:22 am
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And, I prefer to use ML method rather than WLSMV because of nonignorable missing data existing (simulation data). |
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I don't this problem can be done. |
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