THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ILL-CONDITIONED FISHER INFORMATION MATRIX. CHANGE YOUR MODEL AND/OR STARTING VALUES.
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NON-POSITIVE DEFINITE FISHER INFORMATION MATRIX. THIS MAY BE DUE TO THE STARTING VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE CONDITION NUMBER IS 0.367D-23.
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 12.
For your reference, my binary DV has very rare "1" and too many "0"s (52305 cases vs. 2979 cases).
I also tried to change the estimator of the model from MLR to WLSMV. With the WLSMV estimator, the error message was different (NO CONVERGENCE. NUMBER OF ITERATIONS EXCEEDED). And I already changed interation number many times (until ITERATIONS=1000000000), but there was still the same error message.
How to fix this problems?
I really would like to appreciate your advice and any suggestions.
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