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Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Rob McGown posted on Tuesday, November 22, 2005 - 9:06 pm
I have some longitudinal Federal and longitudinal State data for early reading achievement.

I'm seeking guidance on what is the most appropriate way to make valid comparisons between the growth curves of these data.

What would be the best way to do this with Mplus?

Can I just compare models estimated separately?

Or would it be better to try to simultaneously estimate latent growth curves for the seperate outcomes?

Thanks!
 Linda K. Muthen posted on Wednesday, November 23, 2005 - 8:07 am
Are the reading achievement measures for the data sets the same?
 Rob McGown posted on Wednesday, November 23, 2005 - 8:21 am
No....one is IRT scale scores and one is SAT9..they are different tests.

Thanks!
 Linda K. Muthen posted on Wednesday, November 23, 2005 - 8:59 am
Then you should run them separately and it would not make sense to compare them in any absolute way.
 Rob McGown posted on Wednesday, November 23, 2005 - 9:26 am
can I compare growth rates?
 Rob McGown posted on Wednesday, November 23, 2005 - 9:31 am
what about standardized solutions, can they be compared?

Thanks!!!
 Linda K. Muthen posted on Wednesday, November 23, 2005 - 10:36 am
I don't think any of these can be compared in an absolute sense. The same would go for standardized.
 george posted on Wednesday, March 25, 2009 - 5:58 am
Does it make sense to do a significant test for differences in intercepts and slopes among mixtures in GMM? If yes how is it done in Mplus?
 Linda K. Muthen posted on Wednesday, March 25, 2009 - 10:35 am
You can do this using the Wald test of MODEL TEST or loglikelihood difference testing. See the user's guide for MODEL TEST and Chapter 13 for loglikelihood difference testing. The difference test compares two models, one with equalities across classes and one without.
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