Specificity and incremental predictive validity of implicit attitudes: studies of a race-based phenotype.

Correspondence principle Hair texture phenotype IAT Implicit Association Test Implicit attitudes Predictive validity

Journal

Cognitive research: principles and implications
ISSN: 2365-7464
Titre abrégé: Cogn Res Princ Implic
Pays: England
ID NLM: 101697632

Informations de publication

Date de publication:
06 09 2021
Historique:
received: 15 12 2020
accepted: 11 08 2021
entrez: 6 9 2021
pubmed: 7 9 2021
medline: 6 11 2021
Statut: epublish

Résumé

Four studies involving 2552 White American participants were conducted to investigate bias based on the race-based phenotype of hair texture. Specifically, we probed the existence and magnitude of bias in favor of Eurocentric (straight) over Afrocentric (curly) hair and its specificity in predicting responses to a legal decision involving the phenotype. Study 1 revealed an implicit preference, measured by an Implicit Association Test (IAT), favoring Eurocentric over Afrocentric hair texture among White Americans. This effect was not reducible to a Black/White implicit race attitude nor to mere perceptual preference favoring straight over curly hair. In Study 2, the phenotype (hair) IAT significantly and uniquely predicted expressions of support in response to an actual legal case that involved discrimination on the basis of Afrocentric hair texture. Beyond replicating this result, Studies 3 and 4 (the latter preregistered) provided further, and even more stringent, evidence for incremental predictive validity: in both studies, the phenotype IAT was associated with support for a Black plaintiff above and beyond the effects of two parallel explicit scales and, additionally, a race attitude IAT. Overall, these studies support the idea that race bias may be uniquely detected by examining implicit attitudes elicited by group-based phenotypicality, such as hair texture. Moreover, the present results inform theoretical investigations of the correspondence principle in the context of implicit social cognition: they suggest that tailoring IATs to index specific aspects of an attitude object (e.g., by decomposition of phenotypes) can improve prediction of intergroup behavior.

Identifiants

pubmed: 34487286
doi: 10.1186/s41235-021-00324-y
pii: 10.1186/s41235-021-00324-y
pmc: PMC8421490
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

61

Informations de copyright

© 2021. The Author(s).

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Auteurs

Benedek Kurdi (B)

Department of Psychology, Harvard University, Cambridge, MA, USA. benedek.kurdi@yale.edu.
Department of Psychology, Yale University, New Haven, CT, USA. benedek.kurdi@yale.edu.

Timothy J Carroll (TJ)

Department of Psychology, Harvard University, Cambridge, MA, USA.
TriNetX, Cambridge, USA.

Mahzarin R Banaji (MR)

Department of Psychology, Harvard University, Cambridge, MA, USA.

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Classifications MeSH