Implications of latency data for threshold and nonthreshold models of signal detection
dc.contributor.author | Thomas, Ewart A. C. | en_US |
dc.contributor.author | Myers, Jerome L. | en_US |
dc.date.accessioned | 2006-04-17T16:47:22Z | |
dc.date.available | 2006-04-17T16:47:22Z | |
dc.date.issued | 1972-08 | en_US |
dc.identifier.citation | Thomas, 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.uri | http://www.sciencedirect.com/science/article/B6WK3-4D7JNJT-86/2/891558c25d0597d084285141ab8619b9 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/34057 | |
dc.description.abstract | Two 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.extent | 1659132 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Implications of latency data for threshold and nonthreshold models of signal detection | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationother | University of Massachusetts, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/34057/1/0000335.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0022-2496(72)90018-1 | en_US |
dc.identifier.source | Journal of Mathematical Psychology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.