The overall odds ratio as an intuitive effect size index for multiple logistic regression: examination of further refinements

Name: The overall odds ratio as an intuitive effect size index for multiple logistic regression: examination of further refinements
Author: Le, H., Marcus, Justin

İsim	The overall odds ratio as an intuitive effect size index for multiple logistic regression: examination of further refinements
Yazar	Le, H., Marcus, Justin
Basım Tarihi:	2012-12
Basım Yeri	- Sage
Konu	Effect size, Logistic regression, Odds ratio, R square
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1552-3888
Kayıt Numarası	068e8ed4-7b3e-4194-980d-932094b9a438
Lokasyon	Psychology
Tarih	2012-12
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	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.
DOI	10.1177/0013164412445298
Cilt	72

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The overall odds ratio as an intuitive effect size index for multiple logistic regression: examination of further refinements

Yazar Le, H., Marcus, Justin

Basım Tarihi 2012-12

Basım Yeri - Sage

Konu Effect size, Logistic regression, Odds ratio, R square

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1552-3888

Kayıt Numarası 068e8ed4-7b3e-4194-980d-932094b9a438

Lokasyon Psychology

Tarih 2012-12

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin 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.

DOI 10.1177/0013164412445298

Cilt 72