How does face memory ability predict the identification accuracy across different measurements?

Autor: Mansour, Jamal K., Dilhan Töredi
Rok vydání: 2023
Předmět:
DOI: 10.17605/osf.io/m9t6y
Popis: Our study aims to understand better the predictors that influence eyewitness identifications, specifically cross-race situations. While the Cambridge Face Memory Test (CFMT-original) and yes/no, old/new paradigms have been used extensively to investigate the cross-race effect (CRE), it is not yet known how performance on the face memory tests predicts lineup decisions using a mock crime lineup. To do so, we will investigate the predictive powers of the CFMT-Chinese test (McKone et al., 2012), the Stirling Face Recognition Scale (SFRS; Bobak, Mileva & Hancock, 2017), and our developed self-report scale of general face recognition ability on identification accuracy from same-race and cross-race lineups.
Databáze: OpenAIRE