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AW: st: statistical significance of cut points in ordered logit
From
"Martin Weiss" <[email protected]>
To
<[email protected]>
Subject
AW: st: statistical significance of cut points in ordered logit
Date
Mon, 17 May 2010 13:50:01 +0200
<>
" I got the material http://www.nd.edu/~rwilliam/xsoc63993/l91.pdf provided
by Maarten, which is helpful."
Just to be sure, the material you are referring to is provided by Richard
Williams, Maarten probably pointed you to it.
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Grace Jessie
Gesendet: Montag, 17. Mai 2010 13:47
An: [email protected]
Betreff: Re: st: statistical significance of cut points in ordered logit
Statalists,
I got the material http://www.nd.edu/~rwilliam/xsoc63993/l91.pdf provided by
Maarten, which is helpful. Thank you!
After typing the following in the Stata, I found some obersavtions were
suprising to me(see table A). In table A, For example,xb[1] is obviously
bigger than the coefficient of cut1,so the value for Y should equal 2.
However, from the values for pr1 pr2 pr3, the value for pr1 is the biggest,
which means the most likely outcome for Y is 1. Why not consistent? The
doubt with other observations in table A is the same.
Additionally, what does the statistical significance of cut points in
ordered logit mean, which has not been answered in the posting before? I
found there are no z or P>|z| for cut points, though I could get it.
use http://www.nd.edu/~rwilliam/stats2/statafiles/shuttle2.dta, clear
ologit distress date temp, nolog
Ordered logistic regression Number of obs =
23
LR chi2(2) =
12.32
Prob> chi2 =
0.0021
Log likelihood = -18.79706 Pseudo R2 =
0.2468
----------------------------------------------------------------------------
--
distress | Coef. Std. Err. z P>|z| [95% Conf.
Interval]
-------------+--------------------------------------------------------------
--
date | .003286 .0012662 2.60 0.009 .0008043
.0057677
temp | -.1733752 .0834473 -2.08 0.038 -.336929
-.0098215
-------------+--------------------------------------------------------------
--
/cut1 | 16.42813 9.554813 -2.29896
35.15522
/cut2 | 18.12227 9.722293 -.9330729
37.17761
----------------------------------------------------------------------------
--
predict xb,xb
predict pr1 pr2 pr3
table A
+--------------------------------------------------------------------+
| distress date temp xb pr1 pr2 pr3 |
|--------------------------------------------------------------------|
| None 8732 70 16.55703 .4678189 .359285 .1728961 |
| 1 or 2 9341 81 16.65107 .4444934 .3687458 .1867608 |
| 3 plus 9434 75 17.99692 .1723883 .3589076 .468704 |
| 1 or 2 9461 76 17.91227 .1848028 .3675054 .4476918 |
+--------------------------------------------------------------------+
Hope for any help!
Regards,
Grace
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