The ways of the world? Cross-sample replicability of personality trait-life outcome associations
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Authors
Stewart, Ross DavidDiaz, Alice
Hou, Xiangling
Liu, Xingyu
Vainik, Uku
Johnson, Wendy
Mõttus, René
Affiliation
University of Edinburgh; Chongqing Normal University; The University of California; University of Tartu; Mcgill University; Wrexham UniversityPublication Date
2024-07-17
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Research in (mostly) Western samples has indicated that personality domains’ associations with life outcomes are replicable but often driven by their facets or nuances. Using three diverse samples (English-speaking, N=1,232; Russian-Speaking, N=1,604; Mandarin-speaking, N=1,216), we compared personality trait-outcome associations at domain, facet, and nuance levels, both within and among samples. Trait-outcome associations were at least moderately consistent among samples for all trait-hierarchy levels (average intraclass correlations = 0.64 to 0.74). Nuances provided the strongest predictive accuracy, both within and among samples. Trait-outcome associations were higher among English-speakers than Mandarin and Russian-speakers. Our observations suggested moderate generalizability among diverse samples, with nuances providing unique and replicable information. This offers potential to improve understanding of trait-outcome patterns.Citation
Stewart, R. D., Diaz, A., Hou, X., Liu, X., Vainik, U., Johnson, W., & Mõttus, R. (2024). The ways of the world? Cross-sample replicability of personality trait-life outcome associations. Journal of Research in Personality, 112, article-number 104515. https://doi.org/10.1016/j.jrp.2024.104515Publisher
ElsevierType
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enDescription
© 2024 The Author(s). Published by Elsevier Inc.ISSN
0092-6566EISSN
1095-7251Sponsors
Estonian Research Council: PRG2190, PSG656, and PSG759. The Key Research Base Project of Humanities and Social Sciences of Chongqing Municipal Education Commission: Grant 23SKJD046.ae974a485f413a2113503eed53cd6c53
10.1016/j.jrp.2024.104515
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0/


