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Implications of latency data for threshold and nonthreshold models of signal detection

dc.contributor.authorThomas, Ewart A. C.en_US
dc.contributor.authorMyers, Jerome L.en_US
dc.date.accessioned2006-04-17T16:47:22Z
dc.date.available2006-04-17T16:47:22Z
dc.date.issued1972-08en_US
dc.identifier.citationThomas, Ewart A. C., Myers, Jerome L. (1972/08)."Implications of latency data for threshold and nonthreshold models of signal detection." Journal of Mathematical Psychology 9(3): 253-285. <http://hdl.handle.net/2027.42/34057>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WK3-4D7JNJT-86/2/891558c25d0597d084285141ab8619b9en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34057
dc.description.abstractTwo detection cum latency models are constructed by combining sets of plausible assumptions about latency with, in the first instance, the model of the. Theory of Signal Detection and, in the second instance, a general threshold model. The aim of this paper is to show that latency statistics can be used to provide sharp tests for distinguishing between the two models. The two statistics studied are the reaction time operating characteristic (RT-ROC) and the plot of average reaction time against response probability (RT-probability curve). It is shown that, under the first detection model, the RT-ROC lies below the ROC derived from detection rates except at the "yes-no" point, and the RT-probability curve is decreasing whereas, under the second model, the RT-ROC coincides with portions of the latter ROC, and decreasing RT-probability curves do not arise naturally.The effect of criterion variability on the ROC is discussed in detail and conditions are given under which the RT-ROC is equivalent to a ROC generated by variable criteria.en_US
dc.format.extent1659132 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleImplications of latency data for threshold and nonthreshold models of signal detectionen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationotherUniversity of Massachusetts, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34057/1/0000335.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0022-2496(72)90018-1en_US
dc.identifier.sourceJournal of Mathematical Psychologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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