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RE: st: Interpretation of Cut Points in Ordered Probit (Logit) Model


From   "Auh, Jun Kyung" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   RE: st: Interpretation of Cut Points in Ordered Probit (Logit) Model
Date   Fri, 26 Apr 2013 10:11:33 -0400

Thanks. So I need to add back mean of X to generate predicted Y (not Pr(Y=i)) based on the cut points, right?
Just want to make sure that I understood.

Best,
JK

-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of JVerkuilen (Gmail)
Sent: Thursday, April 25, 2013 11:40 PM
To: [email protected]
Subject: Re: st: Interpretation of Cut Points in Ordered Probit (Logit) Model

On Thu, Apr 25, 2013 at 9:25 PM, Auh, Jun Kyung <[email protected]> wrote:
>
> The regression results show that I have negative value for cut2.
> If cut2 < 0, wouldn't the model predict that there is zero observation with Y = 1?
> Or, is the cut points are de-meaned? i.e, do I have to add back the mean of X to have correct interpretation?

Like intercept type parameters in other models, the cuts are relative to the mean of X.


--
JVVerkuilen, PhD
[email protected]

"He uses statistics as a drunken man uses lamp-posts - for support rather than illumination."--Andrew Lang

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