ArticleBrain and behavior2026
Uncovering Heterogeneity in the Measurement of Psychological Well-Being in Non-Western Culture: A Latent Profile Analysis of Ghanaian Undergraduates.
Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Uncovering Heterogeneity in the Measurement of Psychological Well-Being in Non-Western Culture: A Latent Profile Analysis of Ghanaian Undergraduates.Brain and behavior · 2026Article
- Development and validation of the digital well-being scale using university students.Frontiers in psychiatry · 2026Article
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6 authors.
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Abstract
purposePsychological well-being among university students is often examined using variable-centered approaches that assume population homogeneity. Using Ryff's eudaimonic model and a person-centered analytic framework, this study examined latent profiles of psychological well-being among Ghanaian undergraduates, offering insight into how the Western-derived model functions in a non-Western cultural context.
methodsA cross-sectional design was employed to sample 574 regular undergraduate students from a public university in Ghana. Students completed the 18-item Ryff's Psychological Well-Being Scale. Latent profile analysis (LPA) followed by Chi-square tests were performed using JAMOVI statistical software.
findingsFour distinct profiles emerged: fully flourishing students (38.7%), harmonious life seekers (45.1%), purposeful self-actualizers (7.5%), and aspiring actualizers (8.7%). The profiles differed primarily in levels of autonomy, personal growth, and environmental mastery. Well-being profile membership was not associated with gender but varied significantly by age, although the effect size was small.
conclusionsThe study findings suggest meaningful heterogeneity in eudaimonic well-being among Ghanaian undergraduates and highlight the importance of culturally sensitive, profile-based mental health interventions beyond demographic assumptions.
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