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| Low covariance coverage in Path Analy... |
 
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| Paolo Iovino posted on Tuesday, September 08, 2020 - 5:19 am
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Dear MPLUS Team
I am having some difficulties in a cross-lagged model. I have inserted a binary variable as a covariate of an endogenous variable. I obtained it from a pattern mixture model procedure to analyse missing data patterns (performed in SPSS).
However, I get the message:
THE STANDARD ERRORS FOR H1 ESTIMATED SAMPLE STATISTICS COULD
NOT BE COMPUTED. THIS MAY BE DUE TO LOW COVARIANCE COVERAGE.
THE ROBUST CHI-SQUARE COULD NOT BE COMPUTED.
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 THE FOLLOWING PARAMETER:
Parameter 40, Z3 ON P
THE CONDITION NUMBER IS 0.120D-18.
THE ROBUST CHI-SQUARE COULD NOT BE COMPUTED.
I am struggling but I cannot understand the problem. I don't have either negative residual variances or correlations above 1. Could you help me with this?
Thanks in advance
Paul |
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| Sounds like the model is not identified. I assume you have looked at the pattern-mixture example in the Mplus UG, chapter 11. To diagnose why the model might not be identified, we need to see the full output - send to Support along with your license number. |
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