Predicting Psychological and Subjective Well-Being from Personality: Incremental Prediction from 30 Facets Over the Big 5

By Jeromy Anglim, S. Grant. Journal of Happiness Studies, 2014

132 citations recorded by the source corpus.

This study investigated the relationship between the Big 5, measured at factor and facet levels, and dimensions of both psychological and subjective well-being. Three hundred and thirty-seven participants completed the 30 Facet International Personality Item Pool Scale, Satisfaction with Life Scale, Positive and Negative Affectivity Schedule, and Ryff’s Scales of Psychological Well-Being. Cross-correlation decomposition presented a parsimonious picture of how well-being is related to personality factors. Incremental facet prediction was examined using double-adjusted r2 confidence intervals and semi-partial correlations. Incremental prediction by facets over factors ranged from almost nothing to a third more variance explained, suggesting a more modest incremental prediction than presented in the literature previously. Examination of semi-partial correlations controlling for factors revealed a small number of important facet-well-being correlations. All data and R analysis scripts are made available in an online repository.

Subfields: Applied Psychology, Clinical Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/8f1cbef1814ff6f365ee0a4ea0900b19c7c6be9a

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Citations in the corpus

Successful Explanations Start with Accurate Descriptions: Questionnaire Items as Personality Markers for More Accurate Predictions (2018, background): “This facet-specific variance is also associated with life outcomes, and therefore including facets into prediction models of these outcomes can increase their predictive power (e.g. Anglim & Grant, 2016; Christiansen & Robie, 2011; Paunonen & Ashton, 2001).”
Effect of the COVID-19 Pandemic and Big Five Personality on Subjective and Psychological Well-Being (2020, unknown): “This research also consolidates evidence from primary studies (Anglim & Grant, 2016; Grant et al., 2009; Meléndez et al., 2019; Sun et al., 2018) showing how certain pairs of personality traits and well-being dimensions correlate more than would be expected from their respective average…”