Fixing intercept in simple probit model PreviousNext
Mplus Discussion > Categorical Data Modeling >
 Emily Blood posted on Friday, December 03, 2010 - 7:17 pm
I am getting the same value for the regression coefficient of a predictor if I fix the intercept/threshold term at 0 and when I don't when I fit a simple probit model to data I've generated (so I know the true values). This does not happen with a logit model. Is there a reason for this? I would think they should change. If I fit the same model with Splus I get different results. My model is:
results for the "z" parameter are the same with this:
y on z*0.3;
and this:
y on z*0.3;
using THETA parameterization.
 Linda K. Muthen posted on Sunday, December 05, 2010 - 5:15 pm
Please send the two outputs and your license number to
 David Braudt posted on Friday, July 04, 2014 - 11:31 pm
I am curious if it is possible for Mplus to yield an intercept in a probit model similar to that given in Stata (or other programs)? I have tried doing this with the input below, but receive an error (without results) saying that the mean estimation for the categorical outcome variable is ignored. Again, I just want to calculate an intercept similar to what is given in Stata so I can compare models. If there is another way, besides what I tried below great!

Categorical are

Estimator = WLSMV;

! Model of Social Class
class1 ON educ prestg80 paeducM
maeducM NApaeduc NAmaeduc
age black asian hispanic

! First threshold of class1 fixed at 0

! Freeing mean of class1

 Bengt O. Muthen posted on Saturday, July 05, 2014 - 12:00 am
The negative of the Mplus threshold is the intercept so just use that.

Also, you may want to use ML.
 David Braudt posted on Saturday, July 05, 2014 - 12:09 am
By that I assume you mean the negative of the first threshold. Is that correct? And I will try ML, thank you.
 Linda K. Muthen posted on Saturday, July 05, 2014 - 11:40 pm
Are your variables ordinal? Or binary?
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