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Predicting psychological and subjective well-being from personality: incremental prediction from 30 facets over the Big 5

Anglim, Jeromy and Grant, Sharon 2016, Predicting psychological and subjective well-being from personality: incremental prediction from 30 facets over the Big 5, Journal of happiness studies, vol. 17, no. 1, pp. 59-80, doi: 10.1007/s10902-014-9583-7.

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Title Predicting psychological and subjective well-being from personality: incremental prediction from 30 facets over the Big 5
Author(s) Anglim, Jeromy
Grant, Sharon
Journal name Journal of happiness studies
Volume number 17
Issue number 1
Start page 59
End page 80
Total pages 22
Publisher Springer
Place of publication Berlin, Germany
Publication date 2016-02
ISSN 1389-4978
1573-7780
Keyword(s) Big 5
Personality
Personality facets
Psychological well-being
Subjective well-being
Summary 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.
Language eng
DOI 10.1007/s10902-014-9583-7
Field of Research 170109 Personality, Abilities and Assessment
Socio Economic Objective 970117 Expanding Knowledge in Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067724

Document type: Journal Article
Collection: School of Psychology
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