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Does this make sense?
Multilevel Data/Complex Sample
posted on Thursday, December 07, 2006 - 1:13 pm
Most would probably test gender differences using a dummy coded regression. But I'd like your opinion about whether or not the following analysis makes sense.
Sample -- ~23000 13 year olds, a nationally representative sample, students within schools within provinces
Measures -- a latent construct (interest) and an observed variable (pass)
Analysis -- an LCA with 2 categories (gender) with gender as a knownclass. A fixed factor structure, with means/thresholds allowed to vary across groups.
weight is studentwt;
Usevariables are interest1 interest2 import pass;
Categorical are interest1 interest2 pass;
Cluster is schlid;
classes = gender (2);
knownclass = gender (sex=0 sex=1);
type=mixture meanstructure complex;
Linda K. Muthen
posted on Thursday, December 07, 2006 - 3:09 pm
This seems to make sense. It is multiple group factor analysis done using a KNOWNCLASS variable instead of a GROUPING. These two approaches are the same.
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