Open AccessNew signal detection theory-based framework for eyewitness performance in lineups.
Author(s) -
Jung Won Lee,
Steven D. Penrod
Publication year - 2019
Publication title -
law and human behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.432
H-Index - 95
eISSN - 1573-661X
pISSN - 0147-7307
DOI - 10.1037/lhb0000343
Subject(s) - eyewitness identification , suspect , psychology , eyewitness testimony , cognitive psychology , psycinfo , eyewitness memory , detection theory , legal psychology , social psychology , recall , computer science , data mining , criminology , telecommunications , medline , detector , relation (database) , political science , law
Eyewitness research has adapted signal detection theory (SDT) to investigate eyewitness performance. SDT-based measures in yes/no tasks fit well for the measurement of eyewitness performance in show-ups, but not in lineups, because the application of the measures to eyewitness identifications neglects the role of fillers. In the present study, we introduce a SDT-based framework for eyewitness performance in lineups-Multi- d ' Model.