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Estimator for Two-part cross sectiona... |
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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? Thanks so much in advance for your assistance. Anne |
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You should use maximum likelihood. |
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Thank you very much Linda. |
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Mirim Kim posted on Thursday, November 10, 2016 - 9:59 am
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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! Mirim PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART (tech 1) ALPHA(C) G#1 G#2 74 (Estimated) 0 (non) |
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We need to see your outputs to help you - please send to Support along with your license number. |
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