Azad, Zahra Rahmani, Goedderz, Alexandra and Hahn, Adam ORCID: 0000-0002-2232-4976 . Self-Awareness and Stereotypes: Accurate Prediction of Implicit Gender Stereotyping. Pers. Soc. Psychol. Bull.. THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1552-7433

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Abstract

Research showing that people can predict the patterns of their implicit evaluations toward social groups has raised questions concerning how widely these findings extend to other domains, such as semantic implicit stereotyping. In a preregistered laboratory study, participants were asked to predict their scores on five implicit gender stereotyping Implicit Associations Tests (IATs). Within-subjects correlations between IAT score predictions and IAT scores showed high levels of accuracy. Although part of the IAT score patterns could be predicted from shared knowledge, own predictions significantly outperformed predictions of random others and normative patterns, suggesting self-awareness beyond reliance on shared knowledge. In line with dual-process models emphasizing that different information is captured by implicit as opposed to explicit measures, predictions explained correlations between implicit and traditional explicit stereotyping measures, and led to acknowledgment of bias. Discussion focuses on understanding conscious awareness of semantic automatic processes and conceptualizations of the cognitions underlying implicit measures.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Azad, Zahra RahmaniUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Goedderz, AlexandraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hahn, AdamUNSPECIFIEDorcid.org/0000-0002-2232-4976UNSPECIFIED
URN: urn:nbn:de:hbz:38-676337
DOI: 10.1177/01461672221120703
Journal or Publication Title: Pers. Soc. Psychol. Bull.
Publisher: SAGE PUBLICATIONS INC
Place of Publication: THOUSAND OAKS
ISSN: 1552-7433
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
ATTITUDES; BIAS; COGNITION; MODELMultiple languages
Psychology, SocialMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/67633

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