Artikel ; Online: To which world regions does the valence-dominance model of social perception apply?
Nature human behaviour
2021 Band 5, Heft 1, Seite(n) 159–169
Abstract: 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. ...
| Abstract | 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 . |
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| Mesh-Begriff(e) | Adolescent ; Adult ; Cross-Cultural Comparison ; Emotions ; Facial Expression ; Humans ; Judgment ; Male ; Models, Psychological ; Social Perception/ethnology ; Social Perception/psychology ; Young Adult |
| Sprache | Englisch |
| Erscheinungsdatum | 2021-01-04 |
| Erscheinungsland | England |
| Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't |
| ISSN | 2397-3374 |
| ISSN (online) | 2397-3374 |
| DOI | 10.1038/s41562-020-01007-2 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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