A Coefficient of Discrimination for Use With Multinomial and Ordinal Regression Models

• In Event: Multiple Linear Regression: The General Linear Model SIG Special Topics Paper Session

Abstract

This study introduces a coefficient of discrimination for use with multinomial and ordinal regression models. Computation of the coefficient is demonstrated with data from the Pew Research Center’s 25th Anniversary of the Web Omnibus Survey (Pew Research Center, 2014), and the coefficient is compared to existing coefficients proposed by McFadden (1974), Cox and Snell (1989), and Nagelkerke (1991).

Authors

• Thomas J. Smith, Northern Illinois University

• David A. Walker, Northern Illinois University

• Cornelius McKenna, Kishwaukee College