Message/Author 

Arne Floh posted on Thursday, May 17, 2007  9:15 am



I ran the following Mixture Model: INPUT INSTRUCTIONS ANALYSIS: TYPE = MIXTURE; STARTS = 100 10; STITERATIONS = 20; MODEL: %OVERALL% OpC by x1x3; OpB by x4x5; PSO by x7x9; PV by y11y12; SAT by y14y16; SE by OpC OpB PSO; ALOY by y6y8; WoM by y9y10; SAT on SE PV; PV on SE; WoM on SE SAT ALOY; ALOY on SAT; y17 y18 y19 on ALOY; y20 on y17y19; Unfortunately, I got the following error message: THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ILLCONDITIONED FISHER INFORMATION MATRIX. CHANGE YOUR MODEL AND/OR STARTING VALUES. THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NONPOSITIVE 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 0.176D15. 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 55. Help appreciated. Thx in advance. Arne 


This message is related to your particular data and model so it is hard to say anything without more information. Please send your input, data, output, and license number to support@statmodel.com. 

ME posted on Friday, August 24, 2012  6:48 am



I ran the following Mixture Model: INPUT INSTRUCTIONS VARIABLE:NAMES ARE u1u28; USEVARIABLES ARE u1u28; MISSING ARE .; CLASSES = C(1); ANALYSIS: TYPE = mixture; STARTS = 500 100; MODEL: %OVERALL% f by u1u28; %c#1% [f*1]; We obtain the following error message: THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ILLCONDITIONED FISHER INFORMATION MATRIX. CHANGE YOUR MODEL AND/OR STARTING VALUES. THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NONPOSITIVE 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 0.102D15. 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 84. could you please let me know how to fix this issue. 


You cannot free the factor mean. This makes the model not identified. 

ME posted on Friday, August 24, 2012  8:57 am



Could you please let me know how I should modify my syntax to not allow the factor mean to be free? Thank you for your feedback 


You can't. In crosssectional models, factor means cannot be identified. They are fixed at zero. Factor means can be identified only in multiple group and multiple time point models. 

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