Facet-level measures predict Big 5 personality outcomes better than scale-level measures
Accumulating evidence indicates that narrower facet-level personality measures frequently outperform or incrementally predict outcomes better than broad scale-level domain measures.
Papers 0, 1, 2, and 3 all provide empirical evidence showing that facet-level personality traits offer incremental predictive validity or account for more variance in criterion outcomes compared to broad domain-level measures. Paper 4 is tangential as it examines gene methylation rather than predictive outcomes. The evidence strongly supports the claim.
Daniel Danner, Clemens M. Lechner, Christopher J. Soto, Oliver P. John. Modelling the incremental value of personality facets: the domains-incremental facets-acquiescence bifactor showmodel. 2020. https://doi.org/10.1002/per.2268
The study demonstrates the incremental predictive power of personality facets over broad domains for various life outcomes.
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Beatrice Rammstedt, Vera Vogel, Matthias Roth, Clemens Lechner. Unpacking the personality–cognitive ability link: A cross-national facet-level analysis of the Big Five. 2025. https://doi.org/10.21203/rs.3.rs-7431184/v1
The research shows that personality facets account for approximately twice the variance in cognitive ability compared to broad domains.
Sharon Horwood, Jeromy Anglim. Personality and Problematic Smartphone Use: A Facet-Level Analysis using the Five Factor Model and HEXACO Frameworks. 2018. https://doi.org/10.31234/osf.io/rp4c5
The findings indicate that narrow traits and facets provide incremental prediction of specific behaviors like problematic smartphone use.
Ronald C. Feldt, Jen Leeds, Dennis Dew. Criterion Validity of Facets versus Domains of the Big Five Inventory. 2014. https://doi.org/10.65030/idr.12011
The study indicates improved prediction of career and life outcomes when using facet scores rather than domain scores.
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