Age-Related Differences in the Factor Structure of Multiple Wellbeing Indicators in a Large Multinational European Survey
There is increasing evidence that uni-dimensional wellbeing models often report comparable and sometimes better fit to multi-dimensional and hierarchical models. Recent proliferation in Bi-Factor modelling supports a general factor reflecting substantial commonality in wellbeing indicators. The current study examines age-related differences in the factor structure of wellbeing across the lifespan. Participants (n = 42,038) were from the European Social Survey (ESS), a large multi-national study who completed the ESS wellbeing module. Confirmatory Factor (CFA) and Bi-factor analyses revealed a uni-dimensional model reported best fit. Age differences in the magnitude and rank order of factor loadings was supported by a formal invariance test of the factor loadings although these differences did not substantially impact on factor scores. In line with a growing body of CFA and Bi-Factor findings, ESS wellbeing indicators reflect one general wellbeing factor. Despite age differences in the factor loadings, these differences had little adverse impact on overall wellbeing score. Overall, a uni-dimensional factor structure was consistent over the lifespan.
KeywordsWellbeing Confirmatory factor analysis Bi-factor models
- Charles, S. T., Reynolds, C. A., & Gatz, M. (2001). Age-related differences and change in positive and negative affect over 23 years. Journal of Personality, 80, 136–151.Google Scholar
- ESS Round 3: European Social Survey Round 3 Data. (2006). Data file edition 3.7. NSD - Norwegian Centre for Research Data, Norway – Data Archive and distributor of ESS data for ESS ERIC.Google Scholar
- Keyes, C. L., Shmotkin, D., & Ryff, C. D. (2002). Optimizing well-being: The empirical encounter of two traditions. Journal of Personality, 82, 1007–1022.Google Scholar
- Longo, Y., Jovanovic, V., Sampaio de Carvalho, J. & Karas, D. (2017). The general factor of well-being: Multinational evidence using bifactor ESEM on the mental health continuum-short form. Assessment, 1073191117748394.Google Scholar