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A note on ROC analysis and non-parametric estimate of sensitivity

dc.contributor.authorMueller, Shane T.en_US
dc.contributor.authorZhang, Junen_US
dc.date.accessioned2006-09-11T16:26:17Z
dc.date.available2006-09-11T16:26:17Z
dc.date.issued2005-03en_US
dc.identifier.citationZhang, Jun; Mueller, Shane T.; (2005). "A note on ROC analysis and non-parametric estimate of sensitivity." Psychometrika 70(1): 203-212. <http://hdl.handle.net/2027.42/45761>en_US
dc.identifier.issn1860-0980en_US
dc.identifier.issn0033-3123en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45761
dc.description.abstractIn the signal detection paradigm, the non-parametric index of sensitivity A ′, as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d ′ measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A ′ in relation to the area beneath proper receiver operating characteristic (ROC) curves, and provided a formula (which he called A ′′) for this commonly held interpretation. However, he made an error in his calculations. Here, we rectify this error by providing the correct formula (which we call A ) and compare the discrepancy that would have resulted. The corresponding measure for bias b is also provided. Since all such calculations apply to “proper” ROC curves with non-decreasing slopes, we also prove, as a separate result, the slope-monotonicity of ROC curves generated by likelihood-ratio criterion.en_US
dc.format.extent347422 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; The Psychometric Societyen_US
dc.subject.otherSignal Detection Theoryen_US
dc.subject.otherStatistical Theory and Methodsen_US
dc.subject.otherPsychologyen_US
dc.subject.otherAssessment, Testing and Evaluationen_US
dc.subject.otherStatistics for Social Science, Behavorial Science, Education, Public Policy, and Lawen_US
dc.subject.otherPsychology, Generalen_US
dc.subject.otherA ′en_US
dc.subject.otherNon-parametric Estimate of Sensitivityen_US
dc.subject.otherLikelihood-ratioen_US
dc.titleA note on ROC analysis and non-parametric estimate of sensitivityen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor; Department of Psychology, University of Michigan, 525 East University, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arboren_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45761/1/11336_2003_Article_1119.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s11336-003-1119-8en_US
dc.identifier.sourcePsychometrikaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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