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To which world regions does the valence-dominance model of social perception apply?
University of Strathclyde, School of Psychological Sciences and Health, ,Glasgow, UK (GBR).
University of Glasgow, Institute of Neuroscience and Psychology, Glasgow, UK (GBR).
McGill University, Department of Psychology, Montreal, Québec, Canada (CAN).
Magna Græcia University of Catanzaro, Department of Medical and Surgical Sciences,Catanzaro, Italy (ITA).
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2021 (English)In: Nature Human Behaviour, E-ISSN 2397-3374, Vol. 5, no 1, p. 159-169Article in journal (Refereed) Published
Abstract [en]

Over the past 10 years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 5 November 2018. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.7611443.v1 .

Place, publisher, year, edition, pages
2021. Vol. 5, no 1, p. 159-169
Keywords [en]
dominance model, social perception
National Category
Psychology (excluding Applied Psychology)
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URN: urn:nbn:se:hv:diva-16328DOI: 10.1038/s41562-020-01007-2ISI: 000604837700009PubMedID: 33398150Scopus ID: 2-s2.0-85098789303OAI: oai:DiVA.org:hv-16328DiVA, id: diva2:1537046
Available from: 2021-03-13 Created: 2021-03-13 Last updated: 2022-03-30Bibliographically approved

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Mac Giolla, Erik

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