proportional odds logistic regression

Visualizing the Effects of Proportional-Odds Logistic Regression

Proportional-odds logistic regression is often used to model an ordered categorical response. By “ordered”, we mean categories that have a natural ordering, such as “Disagree”, “Neutral”, “Agree”, or “Everyday”, “Some days”, “Rarely”, “Never”. For a primer on proportional-odds logistic regression, see our post, Fitting and Interpreting a Proportional Odds Model. In this post we demonstrate […]

Fitting and Interpreting a Proportional Odds Model

Take a look at the following table. It is a cross tabulation of data taken from the 1991 General Social Survey that relates political party affiliation to political ideology. (Agresti, An Introduction to Categorical Data Analysis, 1996) Political Ideology by Party Affiliation, from the 1991 General Social Survey Very Liberal SlightlyLiberal Moderate SlightlyConservative Very Conservative […]