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From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: gologit2 |

Date |
Mon, 14 Apr 2008 08:41:47 +0100 (BST) |

--- Christian Bustamante <cdeb77@gmail.com> wrote: > I'm doing a research using the ologit command. After the estimation, > I ran the Brant test and the Approximate likelihood-ratio test to > verify the parallel regression assumption. The result was that isn't, > because the chi-squared value of the test was too high (I'm right, am > I?). If you are unsure, than go through the logic of testing: formulate the null-hypothesis. The help-file of -brant- (part of the user written -Spost- package) states: "-brant- performs a Brant test of the parallel regression assumption (also called the proportional odds assumption) after ologit." This means that the null-hypothesis is that the parallel regression assumption holds. The p-value gives you the probability of finding a sample which deviates from this assumption as much or more if the null-hypothesis is true. If it is smaller than 5% (=.05) then we say that that is so unlikely that we probably haven't drawn a "weird" sample but that the null hypothesis is wrong. > So, I found a web page which says that it happened, you should use > the Generalized Ordered Logistic Model (gologit2 command). My > questions are: > 1. Is it the right solution? > 2. Can I verify the parallel regression assumption? Or it doesn't > matter at this point? > 3. Which postestimation commands will be useful? These questions are answered in detail here: http://www.nd.edu/~rwilliam/gologit2/ Hope this helps, Maarten ----------------------------------------- Maarten L. Buis Department of Social Research Methodology Vrije Universiteit Amsterdam Boelelaan 1081 1081 HV Amsterdam The Netherlands visiting address: Buitenveldertselaan 3 (Metropolitan), room Z434 +31 20 5986715 http://home.fsw.vu.nl/m.buis/ ----------------------------------------- ___________________________________________________________ Yahoo! For Good helps you make a difference http://uk.promotions.yahoo.com/forgood/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: gologit2***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**References**:**st: gologit2***From:*"Christian Bustamante" <cdeb77@gmail.com>

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