Montecarlo integration - no convergence PreviousNext
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 Anamaria Brailean posted on Friday, April 22, 2016 - 6:13 am
I tried to run the MIMIC model using MLR estimation. My factor model consisted of 4 factors(N=3107). I used integration=montecarlo(5000), but the model did not converge. The error message was:
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A NON-ZERO DERIVATIVE OF THE OBSERVED-DATA LOGLIKELIHOOD. THE MCONVERGENCE CRITERION OF THE EM ALGORITHM IS NOT FULFILLED. CHECK YOUR STARTING VALUES OR INCREASE THE NUMBER OF MITERATIONS. ESTIMATES CANNOT BE TRUSTED. THE LOGLIKELIHOOD DERIVATIVE FOR PARAMETER 24 IS -0.20908945D+00.
Copying the suggested starting values into my model command did not help the model to converge.
Could you please advise on how I could get the model to converge? Is my syntax correct? Thanks very much.

Analysis:
Estimator = MLR;
INTEGRATION = montecarlo(5000);
Model:
Dep by bcesd03 bcesd06 bcesd09 bcesd10 bcesd14 bcesd17 bcesd18;
Pos by bcesd04 bcesd08 bcesd12 bcesd16;
Som by bcesd01 bcesd02 bcesd05 bcesd07 bcesd11 bcesd13 bcesd20;
Int by bcesd15 bcesd19;
Int @1;

Dep with Pos Som Int;
Pos with Som Int;
Som with Int;
Dep Pos Som Int on sex bage bmwtdr bmtotal bcraven Bcode;

BCESD14 ON BAGE;
BCESD17 ON SEX;
BCESD08 ON BAGE;
BCESD11 ON SEX;
BCESD04 ON SEX;
 Jon Heron posted on Friday, April 22, 2016 - 7:18 am
I think your factor model for INT needs additional constraints
 Bengt O. Muthen posted on Friday, April 22, 2016 - 8:48 am
We need to see your output to be able to judge. Send to Support along with your license number.
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