An Examination of Ordinal Regression Goodness-of-Fit Indices Under Varied Sample Conditions and Link Functions
Year: 2012
Type: article
Abstract: This study examined how the values of three distinct R^2 analogs used in ordinal regression vary as functions of number of predictors, choice of link function, and distribution type. Results indicated that Nagelkerke’s (1991) index most closely approximated OLS R^2, and the use of a complementary log-log link function resulted in particularly variant values of the R^2 analogs.
Source: General Linear Model Journal
Authors: Thomas J. Smith, Cornelius M. McKenna
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2188491579