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| Lynne W posted on Friday, March 09, 2018 - 4:33 am
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Hello,
I am fitting a mediation model using the Bayes estimator and include categorical covariates with missing data in the model as described in Muthen et al. 2016.
However, with MEDIATOR=OBSERVED, no fit statistics are reported and in the MODEL FIT INFORMATION section only the number of free parameters is presented.
Is there a way to obtain fit statistics?
thank you kindly |
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| Not available. Are you sure the model is over-identified? |
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| Lynne W posted on Saturday, March 10, 2018 - 4:13 am
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Yes, the model has a positive number of degrees of freedom.
This is the model:
VARIABLE:
NAMES = y x1-x5;
MISSING = ALL (-9999);
CATEGORICAL = y x1;
ANALYSIS:
ESTIMATOR=BAYES;
MEDIATOR=OBSERVED;
MODEL:
y ON x1-x5;
x1 WITH x1; |
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| I assume you have missing on X1 and therefor add the WITH statement to bring X1 into the model. But you should bring all 5 x's into the model because otherwise X1 will be uncorrelated with the other x's. Your model is not over-identified when done this way. |
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| Lynne W posted on Sunday, March 11, 2018 - 10:47 am
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Thank you, I assumed they would still be correlated.
However, there is still no output of fit statistics. It works fine when neither y nor x1 is declared categorical. But as soon as y or x1 is declared categorical, the fit statistics disappear. I also tried freeing up parameters by fixing x2-x5 means to zero, but it doesn't help. |
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| Send the output with no fit statistics to Support along with your license number. |
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| Lynne W posted on Tuesday, March 13, 2018 - 10:49 am
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I'll post Linda's reply here in case others wonder as well:
For PREDICTOR = OBSERVED, PPP has not be developed statistically. It calls
for new research. |
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