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.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2012 Thomas J. Smith, Cornelius M. McKenna (Author)
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