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dc.contributor.authorLe, H.
dc.contributor.authorMarcus, Justin
dc.date.accessioned2014-07-10T11:09:24Z
dc.date.available2014-07-10T11:09:24Z
dc.date.issued2012-12
dc.identifier.issn1552-3888
dc.identifier.urihttp://hdl.handle.net/10679/479
dc.identifier.urihttp://epm.sagepub.com/content/72/6/1001
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.en_US
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.publisherSageen_US
dc.relation.ispartofEducational and Psychological Measurement
dc.rightsrestrictedAccess
dc.titleThe overall odds ratio as an intuitive effect size index for multiple logistic regression: examination of further refinementsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublished
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID228228
dc.contributor.authorID0000-0002-6869-0365
dc.contributor.ozuauthorMarcus, Justin
dc.identifier.volume72
dc.identifier.issue6
dc.identifier.startpage1001
dc.identifier.endpage1014
dc.identifier.wosWOS:000309936500006
dc.identifier.doi10.1177/0013164412445298
dc.subject.keywordsEffect sizeen_US
dc.subject.keywordsLogistic regressionen_US
dc.subject.keywordsOdds ratioen_US
dc.subject.keywordsR squareen_US
dc.identifier.scopusSCOPUS:2-s2.0-84867685354
dc.contributor.authorMale1


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