TY - JOUR
T1 - The ways of the world? Cross-sample replicability of personality trait-life outcome associations
AU - David Stewart, Ross
AU - Diaz, Alice
AU - Hou, Xiangling
AU - Liu, Xingyu (Shirley)
AU - Vainik, Uku
AU - Johnson, Wendy
AU - Mõttus, René
N1 - Ross David Stewart: Writing – review & editing, Writing – original draft, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Alice Diaz: Project administration, Investigation, Data curation. Xiangling Hou: Writing – original draft, Data curation. Xingyu (Shirley) Liu: Writing – original draft, Data curation. Uku Vainik: Writing – original draft, Investigation, Data curation. Wendy Johnson: Writing – review & editing, Writing – original draft, Supervision, Methodology, Investigation, Conceptualization. René Mõttus: Writing – review & editing, Writing – original draft, Supervision, Methodology, Investigation, Formal analysis, Conceptualization.
PY - 2024/7/17
Y1 - 2024/7/17
N2 - 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.
AB - 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.
UR - https://osf.io/d2vpt/
UR - https://osf.io/tcfgz/
U2 - 10.1016/j.jrp.2024.104515
DO - 10.1016/j.jrp.2024.104515
M3 - Article
AN - SCOPUS:85199578653
SN - 0092-6566
VL - 112
JO - Journal of Research in Personality
JF - Journal of Research in Personality
M1 - 104515
ER -