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Mplus Discussion > Growth Modeling of Longitudinal Data >
 Jaimee posted on Sunday, May 11, 2014 - 5:39 pm

I am running a sequential GMM with 3 clusters of change on 2 variables of interest. My sample size isn't huge (aprox 2000).

Some of the patterns I get are inconsequential - i.e. people who are in cluster 3 on variable x don't tend to also be in cluster 3 on variable y (n of 7). I would like to know if there is a way of suppressing patterns with small n's? Obviously I have 9 different patterns, only some of which I believe are theoretically interesting to include in additional research (I would like to examine differences in psychological outcomes based on pattern category).

Any help would be much appreciated.
 Linda K. Muthen posted on Monday, May 12, 2014 - 10:01 am
Try fixing the relationship between those classes to zero, for example,

c2#3 ON c1#3@0;
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