Estimating the proportion of guilty suspects and posterior probability of guilt in lineups using signal-detection models

Estimating the proportion of guilty suspects and posterior probability of guilt in lineups using signal-detection models

Abstract Background The majority of eyewitness lineup studies are laboratory-based. How well the conclusions of these studies, including the relationship between confidence and accuracy, generalize to real-world police lineups is an open question. Signal detection theory (SDT) has emerged as a power...

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Bibliographic Details
Main Authors: Andrew L. Cohen, Jeffrey J. Starns, Caren M. Rotello, Andrea M. Cataldo
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Cognitive Research
Subjects:
Eyewitness lineup
Confidence
Signal detection theory
Computational modeling
Posterior probability of guilt
Base rate
Online Access:http://link.springer.com/article/10.1186/s41235-020-00219-4

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http://link.springer.com/article/10.1186/s41235-020-00219-4

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