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Calculation of signal detection theory measures
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Response biases can be captured by recoding accuracy into hits and false positives and converting to d' and criterion.
“These biases can be captured by recoding the accuracy of face-matching tasks into hits (correct responses on match trials) and false positives (incorrect responses on mismatch trials) and by converting these variables into the signal detection measures of d' (sensitivity) and criterion (see Stanislaw & Todorov, 1999).”
From A criterion-placement theory of face matching (2026) · cites this paper as Stanislaw & Todorov, 1999
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Metadata
- Authors
- Stanislaw, H., & Todorov, N.
- Venue
- Behavior Research Methods, Instruments, & Computers
- Published
- 1999-03
- Volume
- 31
- Issue
- 1
- Pages
- 137-149
- ISSN
- 0743-3808
- 1532-5970
- Cited by
- 2,673
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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