The Yes-No Experiment
Bibliographic Data
| ID | 23618725 |
|---|---|
| Authors | Michael J Hautus (0000-0003-2936-9023), Neil A Macmillan, C Douglas Creelman |
| Year | 2021 |
| Pages | 3-26 |
| Publication date | 2021-08-10 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | CHAPTER |
| Venue | Detection Theory (SOURCE_BOOK) |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.4324/9781003203636-2 |
| OpenAlex | W3192120290 |
| ISBN | 9781003203636 |
| Language | EN |
| Citations received | 4 |
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 works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |