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ERIC Number: EJ982769
Record Type: Journal
Publication Date: 2012-Dec
Pages: 14
Abstractor: As Provided
ISSN: ISSN-0013-1644
The Overall Odds Ratio as an Intuitive Effect Size Index for Multiple Logistic Regression: Examination of Further Refinements
Le, Huy; Marcus, Justin
Educational and Psychological Measurement, v72 n6 p1001-1014 Dec 2012
This study used Monte Carlo simulation to examine the properties of the overall odds ratio (OOR), which was recently introduced as an index for overall effect size in multiple logistic regression. It was found that the OOR was relatively independent of study base rate and performed better than most commonly used R-square analogs in indexing model strength. The authors also illustrate and test a jackknife procedure to correct for the bias in the OOR and estimate its standard error. An example applying the OOR to evaluate logistic regression models predicting organizational turnover is provided. The authors discuss implications and offer recommendations for using the OOR to quantify and compare the effectiveness of logistic regression models in applied research. (Contains 6 notes and 3 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A