2015
DOI: 10.1177/2372732215602267
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Eyewitness Identification and the Accuracy of the Criminal Justice System

Abstract: This article addresses the problem of eyewitness identification errors that can lead to false convictions of the innocent and false acquittals of the guilty. At the heart of our analysis based on signal detection theory is the separation of diagnostic accuracy—the ability to discriminate between those who are guilty versus those who are innocent—from the consideration of the relative costs associated with different kinds of errors. Application of this theory suggests that current recommendations for reforms ha… Show more

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Cited by 23 publications
(25 citation statements)
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“…In other words, the goal of our experiments is to utilize a theory of underlying psychological discriminability to make predictions about empirical discriminability. Other researchers have noted that it is critical to ground eyewitness ID research in theory (e.g., Clark, Benjamin, Wixted, Mickes, & Gronlund, 2015; Clark, Moreland, & Gronlund, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In other words, the goal of our experiments is to utilize a theory of underlying psychological discriminability to make predictions about empirical discriminability. Other researchers have noted that it is critical to ground eyewitness ID research in theory (e.g., Clark, Benjamin, Wixted, Mickes, & Gronlund, 2015; Clark, Moreland, & Gronlund, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…One possible reason for this lack of clarity in the literature could be the absence of any theoretical guidance to help explain why varying lineup size should (or should not) matter. Our goal was to follow the recommendation that eyewitness ID research be more theory‐driven (e.g., Clark, Benjamin, Wixted, Mickes, & Gronlund, ).…”
Section: Diagnostic Feature‐detection Prediction Concerning Showups Amentioning
confidence: 99%
“…Previous research indicates that there is an association between high confidence and identification accuracy (for an overview see, Wixted & Wells, 2017), and although some results suggest that the relationship will be negatively impacted by sub-optimal conditions (Deffenbacher, 2008), other suggest this not to be the case (Clark et al, 2015;Palmer, Brewer, Weber, & Nagesh, 2013;Semmler et al, 2018;Sporer et al, 1995;Wixted & Wells, 2017). The latter viewpoint is based on the notion that the relationship between confidence and accuracy will not deteriorate depending on external factors, assuming that the investigation is conducted under pristine conditions, but that sub-optimal conditions will naturally entail a lower average of confidence.…”
Section: Confidence and Response Timesmentioning
confidence: 99%
“…The identification task (or multiple-choice task) that we employed differs from a response task where there are both target present and absent line-ups (regarding the identification task see e.g., Duncan, 2006). In eyewitness research it is common practice to use a decision task, where both target present and target absent line-ups are used in order to assess diagnostic accuracy or diagnosticity based on signal detection theory (e.g., Clark, Benjamin, Wixted, Mickes, & Gronlund, 2015;Clark & Godfrey, 2009). Diagnosticity denotes the likelihood that an identified person (from a line-up) is the actual person that was observed (Wells & Lindsay, 1980).…”
Section: The Present Studymentioning
confidence: 99%