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 Marcus Fila posted on Tuesday, January 24, 2012 - 12:15 pm
Hi,

I've been using MPLUS for a couple of months now. Today I ran a very standard kind of SEM using continuous DVs and several latent variables. However, the output did not give me all the usual model fit data (e.g., Chi-Sq, CFI etc.) I only got this:

TESTS OF MODEL FIT

Loglikelihood

H0 Value -16588.837
H0 Scaling Correction Factor 1.327
for MLR

Information Criteria

Number of Free Parameters 111
Akaike (AIC) 33399.675
Bayesian (BIC) 33825.014
Sample-Size Adjusted BIC 33472.899
(n* = (n + 2) / 24)


Does anyone know how to:

1) Interpret the above, and
2) make MPLUS spit out the other model fit data?

Many thanks,

Marcus
 Linda K. Muthen posted on Tuesday, January 24, 2012 - 1:02 pm
When means, variances, and covariances are not sufficient statistics for model estimation, chi-square and related fit statistics are not available. This can happen with a factor model with categorical factor indicators. In this case, nested models are often compared using loglikelihood difference testing where -2 times the loglikelihood difference is distributed as chi-square.
 Marcus Fila posted on Thursday, January 26, 2012 - 11:34 am
Thanks Linda.

My factor indicators, however, are all quantitative. Is there thus a problem with my model? If not, would reporting the fit data I 'did' get in my output (see original post) be sufficient?

Many thanks

Marcus

PS - I posted this again by accident. Please ignore this other post.
 Linda K. Muthen posted on Thursday, January 26, 2012 - 12:49 pm
Please send the output and your license number to support@statmodel.com so I can see the full situation.
 Marcus Fila posted on Thursday, January 26, 2012 - 2:53 pm
Thanks. I just sent it.

Best,

Marcus
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