The effect of lineup size on eyewitness identification accuracy Article Swipe
Eyewitness identification via lineup procedures is an important and widely used source of evidence in criminal cases. However, the current scientific literature provides inconsistent guidance on a very basic question of lineup procedure: lineup size. Some of the ambiguity in the field may be due to different ways in which performance in a lineup memory task is assessed, many of which conflate choosing rate (response bias) with actual memory (discriminability). In two experiments, we examined whether the number of fillers presented with a suspect affects diagnostic accuracy in a lineup, as assessed with Receiver Operating Characteristic (ROC) analysis. Experiment 1 used a between-subject design (N=4401) with one video and lineup per subject. Experiment 2 used a within-subjects (N=105) design with 60 still photographs. For both experiments, showups—a lineup without any fillers—led to lower discriminability than standard lineups with six members. However, in neither experiment did the number of fillers affect discriminability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/2142/102803
- http://hdl.handle.net/2142/102803
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2919154817
All OpenAlex metadata
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- Title
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The effect of lineup size on eyewitness identification accuracyWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
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2019-03-04Full publication date if available
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Melisa Akan, Aaron S. Benjamin, Maria M. RobinsonList of authors in order
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https://hdl.handle.net/2142/102803Publisher landing page
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https://hdl.handle.net/2142/102803Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://hdl.handle.net/2142/102803Direct OA link when available
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Eyewitness identification, Eyewitness testimony, Identification (biology), Psychology, Computer science, Social psychology, Data mining, Relation (database), Botany, BiologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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