Condition number is 0.178D-12
Message/Author
 Maja Cambry posted on Friday, March 19, 2010 - 3:11 pm
Hi,
I conducted an SEM across two groups with 7 latent exogenous variables (3 to 5 indicators each, except one latent with only 2 indicators) predicting 1 latent endogenous variable with 3 indicators. I ran the model with the overall group; model did not converge in 10,000 iterations. I ran the model separately by groups - in the smaller group (N=465 the model estimation terminated normally and had good fit for that group; in the other group (N=3307) I got the message

THE MODEL ESTIMATION TERMINATED NORMALLY THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL. PROBLEM INVOLVING PARAMETER 132. THE CONDITION NUMBER IS 0.178D-12.

From TECH1 output it looks like parameter 132 is the latent endogenous variable in the psi matrix. I'm not sure what the problem is or how to address it. Also,what does the condition number mean (or is there a place I should look for that information).
Maja
 Linda K. Muthen posted on Saturday, March 20, 2010 - 12:13 pm
The condition number is the ratio of the smallest to the largest eigenvalue of the estimated information matrix. A very low condition number implies that the information matrix is singular which implies that the model is not identified.

 Bernhard Swoboda posted on Monday, August 22, 2011 - 7:50 am
Can we refer to the condition number to identify collinearity?
According to Belsley et al. 1980 a condition number of greater than 100 indicates collinearity (i.e the ratio of the largest to smallest eigenvalue).
Do you have any cutoff values for mplus in mind?

Thanks
Bernhard
 Bengt O. Muthen posted on Monday, August 22, 2011 - 8:04 am
Mplus designates covariance matrices as singular when the ratio of smallest to largest eigenvalue is about 10 to the minus 10 or 12, depending on the situation.
 Pia H. posted on Tuesday, March 22, 2016 - 6:18 am
Hi,

I'm having a similar problem. My output gives me the following information:

Parameter 125, ANT WITH INT

THE CONDITION NUMBER IS -0.255D-17.

ANT and INT are two latent variables in the psi matrix.
So I guess the eigenvalue is too small?
How can I find out which variables are causing the problem?
Thank you a lot!

Best,
Pia
 Linda K. Muthen posted on Tuesday, March 22, 2016 - 6:46 am