

Freeing mean and fixing thresholds 

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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 


Sorry. I meant to say intercept for the equation predicting the underlying latent variable  not the mean of the underlying latent variable. Best, Shawn 


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 reparameterization. 

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