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Jaimee posted on Sunday, May 11, 2014 - 5:39 pm
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Hi, 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. |
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Try fixing the relationship between those classes to zero, for example, c2#3 ON c1#3@0; |
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