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ROC analyses in eyewitness identification research
Institution:1. New York University, Psychology Department , 6 Washington Place, Meyer Hall 478, New York, NY 10003, United States;2. Rutgers University, United States;1. Groupe de Recherche en Psychologie de la Santé, Faculté de Psychologie et Sciences de l’éducation, University of Geneva, Geneva, Switzerland;2. Swiss National Centre of Competence in Research LIVES—Overcoming Vulnerability: Life Course Perspectives;3. Centre interfacultaire de gérontologie et d’études des vulnérabilités, University of Geneva;4. Laboratoire Inter-universitaire de Psychologie (LIP, EA4145), Université de Savoie, Chambéry, France
Abstract:There has been a recent surge of interest in analyzing the results of eyewitness identification experiments using Receiver Operating Characteristic (ROC) curves. Proponents of this approach have argued not only that ROC analyses are useful but that more traditional approaches are deficient and should not be used. Three arguments might be made for why researchers would prefer ROC approaches over other techniques. The first is that ROC analyses can provide an index of underlying memory discriminability. The second is that ROC analyses provide useful information about the practical utility of identification procedures. The third is that ROC analyses are useful for testing theory. In this article, I critically examine each of these arguments and conclude that recent claims that ROC methods provide the only justifiable method of comparing identification procedures are overstated.
Keywords:Lineup  Showup  ROC analyses  Diagnosticity  Eyewitness identification  Simulation  Signal detection
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