Dokument: Evaluating the impact of first-yes-counts instructions on eyewitness performance using the two-high threshold eyewitness identification model

Titel:Evaluating the impact of first-yes-counts instructions on eyewitness performance using the two-high threshold eyewitness identification model
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=67412
URN (NBN):urn:nbn:de:hbz:061-20241108-113245-5
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Texte » Artikel, Aufsatz
Medientyp:Text
Autoren: Winter, Kristina [Autor]
Menne, Nicola Marie [Autor]
Bell, Raoul [Autor]
Buchner, Axel [Autor]
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Dateien vom 08.11.2024 / geändert 08.11.2024
Beschreibung:In eyewitness research, multiple identification decisions in sequential lineups are typically prevented by telling participants that only their first identification decision counts. These first-yes-counts instructions are incompatible with standard police protocols prescribing that witnesses shall see the entire lineup. Horry et al. were the first to experimentally test how this discrepancy between eyewitness research and standard police protocols affects eyewitness identification decisions. Here, the two-high threshold eyewitness identification model was used to disentangle the effect of the first-yes-counts instructions on the detection and guessing processes underlying eyewitness identification decisions. We report both a reanalysis of Horry et al.’s data and a conceptual replication. Both the reanalysis and the results of the conceptual replication confirm that first-yes-counts instructions do not affect the detection of the culprit but decrease the probability of guessing-based selections. To improve the ecological validity, research on sequential lineups should avoid first-yes-counts instructions.
Rechtliche Vermerke:Originalveröffentlichung:
Winter, K., Menne, N. M., Bell, R., & Buchner, A. (2023). Evaluating the impact of first-yes-counts instructions on eyewitness performance using the two-high threshold eyewitness identification model [OnlineRessource]. Scientific Reports, 13, Article 6572. https://doi.org/10.1038/s41598-023-33424-4
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Mathematisch- Naturwissenschaftliche Fakultät
Dokument erstellt am:08.11.2024
Dateien geändert am:08.11.2024
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