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Message/Author
 M.O. posted on Monday, January 26, 2015 - 5:39 pm
Dear Dr Muthen,

I am conducting simple mixture analysis on categorical data. My input statement is:

-----
TITLE: LCA
DATA:
FILE = '35itemN888.dat';

VARIABLE:
NAMES = u1-u35;
CATEGORICAL = u1-u35;
CLASSES = C(3);

ANALYSIS:
TYPE IS MIXTURE;
STARTS = 1000 100;
STITERATIONS = 50;
----------

I receive warning message as follows. I suspect I should not use this solution? Can I do anything to deal with this problem?

-----
THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE
TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE
FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING
VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE
CONDITION NUMBER IS 0.569D-10. PROBLEM INVOLVING THE FOLLOWING PARAMETER:
Parameter 420, %C#3%: [ U35$4 ]
------

Thank you for your help,
 Linda K. Muthen posted on Tuesday, January 27, 2015 - 6:21 am
This message should not be ignored. Please send the output and your data to support@statmodel.com.
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