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Chferen posted on Wednesday, January 15, 2014 - 10:01 am
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Hello, Where can I find the following paper? Asparouhov, T. and Muthen, B. (2003) ‘Full-information maximum-likelihood estimation of general two-level latent variable models with missing data.’ Mplus Working Paper. Thanks. |
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Will send it to you. |
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Chferen posted on Wednesday, January 15, 2014 - 6:20 pm
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Thank you, Dr. Muthern! Yes, I read the file you sent to me. But it looks in the growth curve model, the covariance of the error term is a diagonal matrix rather than AR1. Do you have the details about how to estimate the correlation in a Autoregressive Latent Trajectory models? Can Mplus handle that? It looks there is no closed estimation formula for it. Under ML framework and using EM algorithm, how can I estimate the correlation by using fisher score method or some other optimal methods in the SEM with a latent variable as dependent variable? Thanks for your time in advance! |
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See UG ex 6.17 for AR1 residual correlation modeling in Mplus. |
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Hello Mplus team, Could you send me the paper, "Asparouhov, T. and Muthen, B. (2003) ‘Full-information maximum-likelihood estimation of general two-level latent variable models with missing data.’ Mplus Working Paper."? |
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Send an email address and I will send it. |
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Thank you Sir. sunny.faculty1@gmail.com |
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Luo Wenshu posted on Saturday, April 04, 2020 - 1:33 am
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Dear Dr Muthen, Can you send this paper to me? Asparouhov, T. and Muthen, B. (2003) ‘Full-information maximum-likelihood estimation of general two-level latent variable models with missing data.’ Mplus Working Paper. Thank you very much. email: luo.peter@gmail.com |
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Yes. |
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