Fisher Information Matrix in MCFA ana... PreviousNext
Mplus Discussion > Multilevel Data/Complex Sample >
Message/Author
 Andreas Richter posted on Monday, May 17, 2010 - 12:00 pm
Hello,
i am running a multilevel CFA, with 177 individuals nested in 34 teams. The output does not provide me with model test statistics, and the error message I get is the one below. I do not understand what to change in my syntax.
Could you help me here please?
Many thanks in advance, and best,
Andreas


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 -0.172D-16.

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 36.
 Linda K. Muthen posted on Monday, May 17, 2010 - 2:39 pm
Please send the full output and your license number to support@statmodel.com.
 Sandra Naoom posted on Tuesday, May 06, 2014 - 5:47 pm
Hello,
I am running a MCFA, with 2,023 students nested within 93 teachers. I am running two different models using this sample, the first is a 3-factor model and the other is a 4-factor model, neither converges. The output does not provide me with model test statistics for either and I get the error messages below.
I would sincerely appreciate any help. Do you have any advice or suggestions for me to help get these models to converge?
Sandra

THREE FACTOR MODEL ERROR MESSAGE:

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 0.273D-15.

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 49.


FOUR FACTOR ERROR MESSAGE:

THE LOGLIKELIHOOD DECREASED IN THE LAST EM ITERATION. CHANGE YOUR MODEL AND/OR STARTING VALUES.

THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ERROR IN THE COMPUTATION. CHANGE YOUR MODEL AND/OR STARTING VALUES.
 Bengt O. Muthen posted on Tuesday, May 06, 2014 - 6:50 pm
We need to see the context. Please send those two outputs together with your license number to Support.
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