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 V X posted on Thursday, December 20, 2007 - 12:35 pm
Hi,professor, I have a question about the warning message I got, when I was running a model using Monte Carlo integration.

At the beginning of the message, it said,

WARNING: THE SAMPLE COVARIANCE OF THE INDEPENDENT VARIABLES IS SINGULAR.

THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NON-POSITIVE
DEFINITE FISHER INFORMATION MATRIX. CHANGE YOUR MODEL AND/OR STARTING
VALUES.

THE MODEL ESTIMATION HAS REACHED A SADDLE POINT OR A POINT WHERE THE
OBSERVED AND THE EXPECTED INFORMATION MATRICES DO NOT MATCH.
THE CONDITION NUMBER IS -0.198D+00.
THE PROBLEM MAY ALSO BE RESOLVED BY DECREASING THE VALUE OF THE
MCONVERGENCE OPTION.

THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE
COMPUTED. THIS IS OFTEN DUE TO THE STARTING VALUES BUT MAY ALSO BE
AN INDICATION OF MODEL NONIDENTIFICATION. CHANGE YOUR MODEL AND/OR
STARTING VALUES. PROBLEM INVOLVING PARAMETER 3.


RESULTS ARE PRESENTED FOR THE MLF ESTIMATOR.

Then, the last sentence it said,

THE MODEL ESTIMATION TERMINATED NORMALLY



I am wondering how should i deal with the message. Did my model run OK or I should be suspicious about the result I got esepcially the PARAMETER 3 (mean of latent growth rate)?

Thank you .
 Bengt O. Muthen posted on Thursday, December 20, 2007 - 9:24 pm
Your analysis went ok. When the MLF estimator goes through ok you can be confident that your model is identified.
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