Condon, David

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Open Access
Leveraging a more nuanced view of personality: Narrow characteristics predict and explain variance in life outcomes
(2022-07-07) Mõttus, René; Bates, Timothy C.; Condon, David M.; Mroczek, Daniel K.; Revelle, William
Among the main topics of individual differences research is the associations of personality traits with life outcomes. Relying on recent advances of personality conceptualizations and drawing parallels with genetics, we propose that representing these associations with individual questionnaire items (markers of personality “nuances”) can provide incremental value for predicting and explaining them—often even without further data collection. For illustration, we show that item-based models trained to predict ten outcomes out-predicted models based on Five-Factor Model (FFM) domains or facets in independent participants, with median proportions of explained variance being 9.7% (item-based models), 4.2% (domain-based models) and 5.9% (facet-based models). This was not due to item-outcome overlap. Instead, personality-outcome associations are often driven by dozens of specific characteristics, nuances. Outlining item-level correlations helps to better understand why personality is linked with particular outcomes and opens entirely new research avenues—at almost no additional cost.