If the test of proportionality had been significant we could have tried the gologit2 program by Richard Williams of Notre Dame University. Data Sets and Do files. You’ll need to install gologit2 and spost13 and change the data file location in the do file. For examples of how to use Stata for a variety of tasks, see my Stata Highlights page. Sarah Mustillo, Dan Powers, J. The actual values taken on by the dependent variable are irrelevant except that larger values are assumed to correspond to “higher” outcomes.

gologit2 stata

Uploader: Gardagrel
Date Added: 17 April 2012
File Size: 15.2 Mb
Operating Systems: Windows NT/2000/XP/2003/2003/7/8/10 MacOS 10/X
Downloads: 79855
Price: Free* [*Free Regsitration Required]

However, the coefficient for math is for a one point change in the math test score, which is not very meaningful. In order to show the multi-equation nature of this model, we will redisplay the results in a different format. Help us Corrections Found statta error or omission? For more on xtata data analysis including ordinal regression see my notes for Sociology This presentation powerpoint or pdf ; related handout covers highlights of gologit2.

Logistic Regression with Stata Chapter 5 – Ordinal Logistic Regression

Those with older versions of Stata should use gologit29 instead. For technical questions regarding this oglogit2, or to correct its authors, title, abstract, bibliographic or download information, contact: More about this item Keywords logistic ; logistic regression ; generalized logit ; proportional odds ; partial proportional odds ; logit ; probit ; cloglog ; loglog ; cauchit ; Statistics Access and download statistics.


This is a good paper for understanding one of the rationales for a gologit model and for showing how the results can be interpreted. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here.

General contact stzta of provider: RePEc uses bibliographic data supplied by the respective publishers. The fitstat gives a deviance of The variable academic that we used in the previous example is a dichotomization of sstata three category variable prog program type. You’ll need to install gologit2 and spost13 and change the data file location in the do file.

From within Gooogit2, type. Let’s create a new variable math10 which is the math test score divided by ten. In this chapter of the Logistic Regression with Statawe cover the various commands used for multinomial and ordered logistic regression allowing for more than two categories.

In our example, the results are formatted like a single equation model when, in fact, this is a two equation model because there are three levels of ses. This page is under construction!! In ordered logistic regression, Stata gologit22 the constant to zero and estimates the cut points for separating the various levels of the response variable.

gologit2 stata

The ologit will be followed by listcoef and fitstat. When requesting a correction, please mention this item’s handle: Multinomial response models have much in common with the logistic regression models that we have covered so far. Syntax is the same for both versions; but if you are using Stata 9 or higher, gologit2 supports several prefix commands, including bynestregxi and sw.


A change of ten points on the math test will be more meaningful than a one point change.

gologit2 stata

You can download omodel from within Stata by typing search omodel see How can I use the search command to search for programs gologti2 get additional help? The test command computes a Wald test across the two equations.

gologit2 stata

See general information about how to correct material in RePEc. You can download gologit2 from within Stata by typing search gologit2 see How can I use the search command to search for programs and get additional help?

Logistic Regression with Stata Chapter 5 – Ordinal Logistic Regression

This module should be installed from within Stata by typing “ssc install gologit2”. Approximate likelihood-ratio test of proportionality of odds across response categories: This is not a very big change in the deviance. This page is archived and no longer maintained. We will follow this analysis with the omodel command to check on the proportional odds assumption.