Unconditional GMM for Nested Data PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
 Anne Chan  posted on Tuesday, August 04, 2015 - 9:56 am
I would like to run a unconditional GMM (i.e., no covariates and no distal outcomes), which classified students into groups according to their motivational trajectories. The students are nested within schools. How should I accounted for the nested nature of the data in the analysis? As I am running a unconditional GMM, example 10.9 (which involves covariates at school level) seems to be not applicable to our case.

I tried the "CLUSTER =" option with "Type = Complex Mixture". The model output looks ok. Just wanted to confirm if this is the correct way to do it.

 Linda K. Muthen posted on Tuesday, August 04, 2015 - 1:58 pm
COMPLEX MIXTURE can be used to control for non-independence of observations due to clustering.
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message