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 Hanneke Teunissen posted on Friday, January 25, 2013 - 8:23 am
I am trying to run a two-level regression analysis for a continuous dependent variable with a random slope. The model is running, but I get this warning:
THE MLR STANDARD ERRORS COULD NOT BE COMPUTED. THE MLF STANDARD ERRORS WERE COMPUTED INSTEAD. THIS MAY BE DUE TO NEAR SINGULARITY OF THE RANDOM EFFECT VARIANCE/COVARIANCE OR INCOMPLETE CONVERGENCE.

Can you tell me what this warning means and if I should be worried about it? Is there anything I can do to solve this?

Thank you very much for your help!
 Bengt O. Muthen posted on Friday, January 25, 2013 - 10:20 pm
First, I would make sure I am running Version 7.

Second, check if all random effects really have variance larger than zero.
 Katrina Lin posted on Wednesday, April 16, 2014 - 12:57 am
Dear Prof. Muthen,

I was testing a moderating effect with IV, moderator and DV are all Level 1 variables. I used random intercepts and random slopes to test. Although I can get the estimates and significance test, the standard errors are quite different from what I got from HLM. I think it is the reason below that caused the difference.

"WARNING: THE MLR STANDARD ERRORS COULD NOT BE COMPUTED. THE MLF STANDARD
ERRORS WERE COMPUTED INSTEAD. THE MLR CONDITION NUMBER IS -0.600D-02.
PROBLEM INVOLVING PARAMETER 9. THIS MAY BE DUE TO NEAR SINGULARITY
OF THE RANDOM EFFECT VARIANCE/COVARIANCE OR INCOMPLETE CONVERGENCE."

Can you suggest? I am using Mplus 6. Does version 7 help with this issue?

Thank you very much!
 Bengt O. Muthen posted on Wednesday, April 16, 2014 - 6:19 pm
HLM probably uses ML - try ML.

It is always a good idea to use the latest version of Mplus.
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