Three‐level meta‐analysis of the other‐race bias in facial identification

The current research conducted a three‐level meta‐analysis with a total of 159 journal articles on the other‐race bias in facial identification, which had been published between 1969 and 2021. The effect size analysis yielded moderate pooled effect sizes of the other‐race bias on face identification...

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Vydané v:Applied cognitive psychology Ročník 36; číslo 5; s. 1106 - 1130
Hlavní autori: Lee, Jungwon, Penrod, Steven D.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bognor Regis Wiley 01.09.2022
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Predmet:
Analysis
Bias
cross‐race bias
Effect Size
face recognition
facial identification
Human Body
Identification
Meta-analysis
Minority Groups
Moderation
other‐race bias
own‐race bias
Pattern recognition
Race
Racial bias
Racial Factors
Racism
Recognition (Psychology)
Robustness
Sensitivity analysis
Visual Discrimination
Whites
ISSN:0888-4080, 1099-0720
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Popis
Shrnutí:The current research conducted a three‐level meta‐analysis with a total of 159 journal articles on the other‐race bias in facial identification, which had been published between 1969 and 2021. The effect size analysis yielded moderate pooled effect sizes of the other‐race bias on face identification—people showed higher hit rates and discriminability, lower false alarm rates, and more stringent criteria for own‐race faces than for other‐race faces. Results from the sensitivity analysis and publication bias analysis also supported the robustness of the other‐race bias. In moderation analyses, participant race (White vs. non‐White) and retention interval between the study and test phases produced stable moderating effects on estimates of the other‐race bias. Despite an increase in racial diversity for decades in our society, the current meta‐analysis still demonstrated robust effects of the other‐race bias in facial identification, replicating findings from the previous meta‐analyses.
Bibliografia:Funding information
National Science Foundation, Grant/Award Number: SES‐1754079
ObjectType-Article-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-3
ObjectType-Evidence Based Healthcare-1
ISSN:0888-4080
1099-0720
DOI:10.1002/acp.3997