Freeing mean and fixing thresholds PreviousNext
Mplus Discussion > Categorical Data Modeling >
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 Shawn Bauldry posted on Tuesday, February 15, 2011 - 1:04 pm
I am trying to estimate an ordered probit model where I fix the thresholds to known values and I'd like to free the variance and the mean of the underlying latent variable. Is this possible?

I tried setting parameterization = theta and the following model statements, but I can't figure out how to free the mean of the latent variable to be estimated.

rincom06 ON prestg80 educ age2 age3 age4 female hisp black orace;

rincom06*;
[rincom06$1@9.21];
[rincom06$2@9.90];
[rincom06$3@10.31];
[rincom06$4@10.60];
[rincom06$5@10.82];
[rincom06$6@11.00];
[rincom06$7@11.23];
[rincom06$8@11.41];
[rincom06$9@11.61];


Best,
Shawn
 Shawn Bauldry posted on Tuesday, February 15, 2011 - 1:07 pm
Sorry. I meant to say intercept for the equation predicting the underlying latent variable -- not the mean of the underlying latent variable.

Best,
Shawn
 Bengt O. Muthen posted on Tuesday, February 15, 2011 - 6:05 pm
You can do this by putting a factor behind the DV. You only have to fix 2 thresholds, not all of them. But nothing is really gained by this approach - it is just a re-parameterization.
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