Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Warsaw School of Eco...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
addClaim

Exploring Personality and Well-being in Older Couples : APIM and DRSA models

Authors: Milena Chełchowska;

Exploring Personality and Well-being in Older Couples : APIM and DRSA models

Abstract

Personality traits are strong predictors of subjective well-being with meta-analyses supporting the relationships. However, the role of personality similarity in romantic couples, especially among older adults, remains unclear. This article aims to examine the actor and partner effects of personality traits on subjective well-being among older people in Europe. They include the effects on longitudinal development of subjective well-being as well as the under-researched impact of partners’ (dis)similarity in terms of personality traits. The study analyzes subjective well-being among older European couples using data from three waves of the Survey of Health, Aging and Retirement in Europe (from 2017-2022). It employs APIM and DRSA models to examine actor, partner, and personality similarity effects. Subjective well-being is measured using the CASP-12 scale, while personality traits are assessed using the Big Five inventory. Personality predicted subjective well-being over time at actor and partner levels. Neuroticism showed the strongest negative, conscientiousness the strongest positive actor effect. Extraversion had the strongest partner effect. Actor effects were generally stronger than partner effects for subjective well-being levels, but the reverse was true for subjective well-being development. Similarity effects were limited, though trait combinations revealed nuanced interactions. The findings confirm the importance of both partners’ personality traits for long-term subjective well-being, with effects varying by trait and outcome. They underscore the value of a dyadic longitudinal approach in revealing complex, trait-specific dynamics beyond simple similarity effects.

Country
Poland
Related Organizations
Keywords

well-being, personality, APIM and DRSA models, dobrostan, modele APIM i DRSA, osobowość

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!