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 Michael Li posted on Friday, October 02, 2015 - 2:59 am
Dear Dr. Muthen,

I've read recommendations for conducting GMM, and most involves the following steps: identify the number of trajectories, examine covariates associated with the trajectories, and then test a final GMM that included relevant covariates.

However, I'm not quite understand that after I examine covariates significantly associated with the trajectories, why should I included relevant covariates in the final model? What's the differences between conditional and the unconditional GMM?

Thank you for your help!


 Bengt O. Muthen posted on Friday, October 02, 2015 - 2:03 pm
You don't have to take that final step. But it can be useful for example to check if there are direct influences from covariates to growth factors or outcomes - which would make decisions on the number of classes different from using the unconditinal GMM.

See also the paper on our website:

Petras, H. & Masyn, K. "General growth mixture analysis with antecedents and consequences of change." Handbook of Quantitative Criminology. Ed. Alex Piquero, Ed. David Weisburd. New York: Springer-Verlag, 2010. 69-100.
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