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Showups versus lineups: An evaluation using ROC analysis

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TLDR
Gronlund et al. as mentioned in this paper reanalyzed data from a study by Gronlund, Carlson, Dailey, and Goodsell (2009), which included simultaneous and sequential lineups, and using the same stimuli and procedures, collected new data using showup identifications.
Abstract
Showups (a one-person identification) were compared to both simultaneous and sequential lineups that varied in lineup fairness and the position of the suspect in the lineup. We reanalyzed data from a study by Gronlund, Carlson, Dailey, and Goodsell (2009) , which included simultaneous and sequential lineups, and using the same stimuli and procedures, collected new data using showup identifications. Performance was compared using ROC analysis, which is superior to traditional measures such as correct and false identification rates, and probative value measures. ROC analysis showed that simultaneous lineups consistently produced more accurate identification evidence than showups, but sequential lineups were sometimes no more accurate than showups, and were never more accurate than simultaneous lineups. These results supported prior suppositions regarding the suggestiveness of showups, revealed a misconception about the superiority of sequential lineups, and demonstrated why eyewitness identification procedures need to be evaluated using ROC analyses.

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Citations
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Journal ArticleDOI

The Relationship Between Eyewitness Confidence and Identification Accuracy: A New Synthesis.

TL;DR: Understanding the information value of eyewitness confidence under pristine testing conditions can help the criminal justice system to simultaneously achieve both of its main objectives: to exonerate the innocent and to convict the guilty.
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Receiver operating characteristic analysis of eyewitness memory: comparing the diagnostic accuracy of simultaneous versus sequential lineups.

TL;DR: The basics of ROC analysis are described, explaining why it is needed and how to use it to measure the performance of different lineup procedures, and 3 ROC experiments that were designed to investigate the diagnostic accuracy of simultaneous versus sequential lineups are reported.
Journal ArticleDOI

A signal-detection-based diagnostic-feature-detection model of eyewitness identification.

TL;DR: A signal-detection-based model of eyewitness identification is proposed, one that encourages the use of (and helps to conceptualize) receiver operating characteristic (ROC) analysis to measure discriminability, and a diagnostic feature-detector hypothesis is proposed to account for that result.
Journal ArticleDOI

Receiver operating characteristic analysis and confidence–accuracy characteristic analysis in investigations of system variables and estimator variables that affect eyewitness memory

TL;DR: Two graphical techniques, receiver operating characteristic (ROC) analysis and what might be termed "confidence-accuracy characteristic" (CAC) analysis, are important tools for investigating variables that affect the accuracy of eyewitness identifications as discussed by the authors.
Journal ArticleDOI

Evaluating Eyewitness Identification Procedures Using Receiver Operating Characteristic Analysis

TL;DR: In this article, the receiver operating characteristic (ROC) curves are used to trace out discriminability across levels of response bias for each procedure and demonstrate that ROC analysis is the only way to make that determination.
References
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Journal ArticleDOI

pROC: an open-source package for R and S+ to analyze and compare ROC curves

TL;DR: pROC as mentioned in this paper is a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface.
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Basic principles of ROC analysis

TL;DR: ROC analysis is shown to be related in a direct and natural way to cost/benefit analysis of diagnostic decision making and the concepts of "average diagnostic cost" and "average net benefit" are developed and used to identify the optimal compromise among various kinds of diagnostic error.
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Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening

TL;DR: The overall diagnostic accuracy of digital and film mammography as a means of screening for breast cancer is similar, but digital mammography is more accurate in women under the age of 50 years, women with radiographically dense breasts, and premenopausal or perimenopausal women.
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Eyewitness Identification Procedures: Recommendations for Lineups and Photospreads

TL;DR: In this paper, three important themes from the scientific literature relevant to lineup methods were identified and reviewed, namely relative-judgment processes, the lineups-as-experiments analogy, and confidence malleability.
Journal ArticleDOI

Erroneous analyses of interactions in neuroscience: a problem of significance

TL;DR: A review of neuroscience articles in five top-ranking journals found that 78 used the correct procedure and 79 used the incorrect procedure, and suggests that incorrect analyses of interactions are even more common in cellular and molecular neuroscience.
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