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From | Grace Jessie <gracejessie@hotmail.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: statistical significance of cut points in ordered logit |
Date | Mon, 17 May 2010 11:46:36 +0000 |
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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/