Re: LCA: model failed to determine a valid solution...why?

This seems unusual.

With a 1-class model (and no missing data) estimation only needs one
iteration, so convergence shouldn't be an issue there.

Suggestions:

1. Are data being read correctly? Is there a way to check--e.g., a
report of N's and means for each variable?

2. Can you run any benchmark data and verify that you get the right
results? That's a good way to make sure you've formatted data files
correctly, are using the proper options, etc.

3. Have you experimented with changing the convergence criterion and/or
maximum number of iterations?

4. If you're getting results (even though convergence isn't reached),
do they look plausible?

--
John Uebersax, PhD

.

Relevant Pages

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