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Creating fair lineups for suspects with distinctive features
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Zarkadi, Theodora, Wade, Kimberley A. and Stewart, Neil, 1974-. (2009) Creating fair lineups for suspects with distinctive features. Psychological Science, Vol.20 (No.12). pp. 1448-1453. ISSN 0956-7976
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Official URL: http://dx.doi.org/10.1111/j.1467-9280.2009.02463.x
Abstract
In their descriptions, eyewitnesses often refer to a culprit's distinctive facial features. However, in a police lineup, selecting the only member with the described distinctive feature is unfair to the suspect and provides the police with little further information. For fair and informative lineups, the distinctive feature should be either replicated across foils or concealed on the target. In the present experiments, replication produced more correct identifications in target-present lineups—without increasing the incorrect identification of foils in target-absent lineups—than did concealment. This pattern, and only this pattern, is predicted by the hybrid-similarity model of recognition.
| Item Type: | Journal Article |
|---|---|
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare B Philosophy. Psychology. Religion > BF Psychology |
| Divisions: | Faculty of Science > Psychology |
| Library of Congress Subject Headings (LCSH): | Eyewitness identification -- Research, Face perception -- Research, Similarity (Psychology), Identification (Psychology) |
| Journal or Publication Title: | Psychological Science |
| Publisher: | Wiley-Blackwell Publishing Ltd. |
| ISSN: | 0956-7976 |
| Date: | December 2009 |
| Volume: | Vol.20 |
| Number: | No.12 |
| Number of Pages: | 6 |
| Page Range: | pp. 1448-1453 |
| Identification Number: | 10.1111/j.1467-9280.2009.02463.x |
| Status: | Peer Reviewed |
| Access rights to Published version: | Restricted or Subscription Access |
| Funder: | Economic and Social Research Council (Great Britain) (ESRC) |
| Grant number: | RES-000-23-1372 (ESRC), RES-062- 23-0952 (ESRC) |
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| URI: | http://wrap.warwick.ac.uk/id/eprint/2553 |
Data sourced from Thomson Reuters' Web of Knowledge
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