

Warning about MLR standard errors 

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I am trying to run a twolevel 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! 


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 Tuesday, April 15, 2014  6:57 pm



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 0.600D02. 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! 


HLM probably uses ML  try ML. It is always a good idea to use the latest version of Mplus. 

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