Hi,
Does anyone may have suggestions to compute constrained maximum likelihood estimate (CMLE) instead of ML estimate in a Wald Test In Mplus using MODEL TEST COMMAND? My latent class are unequal in terms of sample size and some have small sample size, and this method seems to be more adapted for this type of design.
Here is an example of my syntax for Wald test:
Model Constraint:
New(P1vs2 P1vs3 P2vs3);
P1vs2 = P1 - P2;
P1vs3 = P1 - P3;
P2vs3 = P2 - P3;
Model Test:
0 = P1vs2 - P1vs3;
0 = P1vs2 - P2vs3;
Thanks
David Eugene Booth
This is really difficult I think
to get a start you might want to look at Wald test construction in the attached paper. Best wishes, David Booth
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