Researchers have a variety of options when choosing statistical software packages that can perform ordinal logistic regression analyses. However, statistical software, such as Stata, SAS, and SPSS, may use different techniques to estimate the parameters. The purpose of this article is to (1) illustrate the use of Stata, SAS and SPSS to fit proportional odds models using educational data; and (2) compare the features and results for fitting the proportional odds model using Stata OLOGIT, SAS PROC LOGISTIC (ascending and descending), and SPSS PLUM. The assumption of the proportional odds was tested, and the results of the fitted models were interpreted.
"Ordinal Regression Analysis: Fitting the Proportional Odds Model Using Stata, SAS and SPSS,"
Journal of Modern Applied Statistical Methods:
2, Article 30.
Available at: http://digitalcommons.wayne.edu/jmasm/vol8/iss2/30