Title

An Additional Measure Of Overall Effect Size For Logistic Regression Models

Keywords

Logistic regression; Overall effect size; Overall odds ratio; R-squared

Abstract

Users of logistic regression models often need to describe the overall predictive strength, or effect size, of the model's predictors. Analogs of R2 have been developed, but none of these measures are interpretable on the same scale as effects of individual predictors. Furthermore, R2 analogs are not invariant to the base rate (overall proportion of successes), making it difficult to compare effect sizes across data sets. The authors propose a measure of overall effect size that is interpretable on the same scale as effects of individual predictors and is invariant to the base rate. They explore the properties of the overall odds ratio and illustrate its use through an example. They also provide interpretive guidance and illustrate how statistical software can be used to compute the proposed measure. © 2008 AERA.

Publication Date

12-1-2008

Publication Title

Journal of Educational and Behavioral Statistics

Volume

33

Issue

4

Number of Pages

416-441

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.3102/1076998607306081

Socpus ID

68049140673 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/68049140673

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