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 Chferen  posted on Wednesday, January 15, 2014 - 10:01 am
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.
 Bengt O. Muthen posted on Wednesday, January 15, 2014 - 10:41 am
Will send it to you.
 Chferen  posted on Wednesday, January 15, 2014 - 6:20 pm
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!
 Bengt O. Muthen posted on Thursday, January 16, 2014 - 9:07 am
See UG ex 6.17 for AR1 residual correlation modeling in Mplus.
 Bharath Shashanka Katkam posted on Friday, June 14, 2019 - 8:10 am
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."?
 Bengt O. Muthen posted on Saturday, June 15, 2019 - 11:44 am
Send an email address and I will send it.
 Bharath Shashanka Katkam posted on Saturday, June 15, 2019 - 11:44 pm
Thank you Sir.

sunny.faculty1@gmail.com
 Luo Wenshu posted on Saturday, April 04, 2020 - 1:33 am
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
 Bengt O. Muthen posted on Saturday, April 04, 2020 - 11:15 am
Yes.
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