Literature DB >> 23294282

Receiver operating characteristic analysis of eyewitness memory: comparing the diagnostic accuracy of simultaneous versus sequential lineups.

Laura Mickes1, Heather D Flowe, John T Wixted.   

Abstract

A police lineup presents a real-world signal-detection problem because there are two possible states of the world (the suspect is either innocent or guilty), some degree of information about the true state of the world is available (the eyewitness has some degree of memory for the perpetrator), and a decision is made (identifying the suspect or not). A similar state of affairs applies to diagnostic tests in medicine because, in a patient, the disease is either present or absent, a diagnostic test yields some degree of information about the true state of affairs, and a decision is made about the presence or absence of the disease. In medicine, receiver operating characteristic (ROC) analysis is the standard method for assessing diagnostic accuracy. By contrast, in the eyewitness memory literature, this powerful technique has never been used. Instead, researchers have attempted to assess the diagnostic performance of different lineup procedures using methods that cannot identify the better procedure (e.g., by computing a diagnosticity ratio). Here, we describe the basics of ROC analysis, explaining why it is needed and showing how to use it to measure the performance of different lineup procedures. To illustrate the unique advantages of this technique, we also report 3 ROC experiments that were designed to investigate the diagnostic accuracy of simultaneous versus sequential lineups. According to our findings, the sequential procedure appears to be inferior to the simultaneous procedure in discriminating between the presence versus absence of a guilty suspect in a lineup.

Entities:  

Mesh:

Year:  2012        PMID: 23294282     DOI: 10.1037/a0030609

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  35 in total

1.  Estimating the reliability of eyewitness identifications from police lineups.

Authors:  John T Wixted; Laura Mickes; John C Dunn; Steven E Clark; William Wells
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-22       Impact factor: 11.205

Review 2.  When more data steer us wrong: replications with the wrong dependent measure perpetuate erroneous conclusions.

Authors:  Caren M Rotello; Evan Heit; Chad Dubé
Journal:  Psychon Bull Rev       Date:  2015-08

3.  Optimizing the selection of fillers in police lineups.

Authors:  Melissa F Colloff; Brent M Wilson; Travis M Seale-Carlisle; John T Wixted
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-23       Impact factor: 11.205

4.  Relationships between expertise and distinctiveness: Abnormal medical images lead to enhanced memory performance only in experts.

Authors:  Hayden M Schill; Jeremy M Wolfe; Timothy F Brady
Journal:  Mem Cognit       Date:  2021-04-14

5.  Why eyewitnesses fail.

Authors:  Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-25       Impact factor: 11.205

6.  sdtlu: An R package for the signal detection analysis of eyewitness lineup data.

Authors:  Andrew L Cohen; Jeffrey J Starns; Caren M Rotello
Journal:  Behav Res Methods       Date:  2021-02

7.  fullROC: An R package for generating and analyzing eyewitness-lineup ROC curves.

Authors:  Yueran Yang; Andrew M Smith
Journal:  Behav Res Methods       Date:  2022-05-31

Review 8.  Theoretical false positive psychology.

Authors:  Brent M Wilson; Christine R Harris; John T Wixted
Journal:  Psychon Bull Rev       Date:  2022-05-02

Review 9.  The US Department of Justice stumbles on visual perception.

Authors:  Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

10.  Perpetrator pose reinstatement during a lineup test increases discrimination accuracy.

Authors:  Melissa F Colloff; Travis M Seale-Carlisle; Nilda Karoğlu; James C Rockey; Harriet M J Smith; Lisa Smith; John Maltby; Sergii Yaremenko; Heather D Flowe
Journal:  Sci Rep       Date:  2021-07-09       Impact factor: 4.379

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