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The Yes-No Experiment

Bibliographic Data

ID23618725
AuthorsMichael J Hautus (0000-0003-2936-9023), Neil A Macmillan, C Douglas Creelman
Year2021
Pages3-26
Publication date2021-08-10
Peer ReviewedYes
Open AccessNo
TypeCHAPTER
VenueDetection Theory (SOURCE_BOOK)
PublisherRoutledge (PUBLISHER • GB)
DOI10.4324/9781003203636-2
OpenAlexW3192120290
ISBN9781003203636
LanguageEN
Citations received4

The results of a yes-no or single-interval discrimination experiment can be described by a hit and a false-alarm rate, which in turn can be reduced to a single measure of sensitivity. Good measures can be written as the difference between the hit and false-alarm rates when both are appropriately transformed. The sensitivity measure proposed by detection theory, d′ , uses the normal-distribution z -transformation. The primary rationale for d′ as a measure of accuracy is that it is roughly invariant when response bias is manipulated; simpler measures such as proportion correct do not have this property. The use of d′ implies a model in which the two possible stimulus classes lead to normal distributions differing in mean, and the observer decides which class occurred by comparing an observation with an adjustable criterion.

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Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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