Cluster Specific Multilevel Modeling PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
Message/Author
 Jeffrey Hall posted on Thursday, August 24, 2006 - 3:37 pm
Good afternoon,

Is it possible to conduct cluster specific hiearchical modeling (for example using GLMM) or population averaged marginal modeling (for example using GEE) within MPLUS?
 Bengt O. Muthen posted on Thursday, August 24, 2006 - 4:00 pm
If by cluster-specific hierarchical modeling you mean multilevel modeling with random effects, then yes. GEE is not possible in Mplus, but for a comparison of GEE and the Mplus weighted least squares estimator for categorical outcomes, please send me an email requesting "paper #75".
 Emily Blood posted on Saturday, September 13, 2008 - 8:35 pm
I have a two questions:
1. If I have a latent growth curve with a binary outcome, do you recommend the WLSMV estimator or the MLR estimator? Also, I assume the default is a logit link. If not, how do I specify a logit link?

2. If I have a time-varying covariate/predictor and repeated binary outcome, is it possible to model this with a logit model in Mplus? If so, can this also be done if there is a mediating variable included between the time-varying predictor and the binary outcomes?

Thanks!
 Linda K. Muthen posted on Sunday, September 14, 2008 - 4:12 pm
1. You can use either estimator. If you want to include residual covariances in the model, it is more straighforward with weighted least squares. With maximum likelihood, each growth factor and each residual covariance is one dimension of integration so a model can quickly become computationally demanding.

2. Yes and yes.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: