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Satisfaction with Meaning in Life: a metric with Strong Correlations to the Hedonic and Eudaimonic Well-Being of Adolescents

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  • Ferran Casas

    (University of Girona
    Universidad Andrés Bello)

  • Mònica González-Carrasco

    (University of Girona)

Abstract

This paper explores the relationship between a single-item scale on satisfaction with meaning in life (SML) and other well-being metrics, both eudaimonic and hedonic. A sample of N = 923 Spanish adolescents in secondary education was used for this purpose. Although we have theorized and explored this metric as a component of eudaimonic well-being, our results show that it is also very closely related to the cognitive and the affective components of hedonic well-being. Standardized regression weights using structural equation modelling (SEM) were used to show the strong correlation between the SML and all of the well-being instruments used in this study. This relationship was more pronounced with cognitive domain-based and positive affect latent variables than the eudaimonic well-being latent variable. Multi-group SEM analysis by gender and academic year reveals a definitive variation in the relationships between these variables for gender, whereas the variation by academic year remains unclear. The correlation between the SML and every other well-being instruments is stronger for girls in all cases. Although values decrease with age for all instruments, the relationships fluctuate and display no clear trend. This study contributes new evidence to discussions on the relationship between eudemonic and hedonic well-being.

Suggested Citation

  • Ferran Casas & Mònica González-Carrasco, 2021. "Satisfaction with Meaning in Life: a metric with Strong Correlations to the Hedonic and Eudaimonic Well-Being of Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(5), pages 1781-1807, October.
  • Handle: RePEc:spr:chinre:v:14:y:2021:i:5:d:10.1007_s12187-021-09826-z
    DOI: 10.1007/s12187-021-09826-z
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    References listed on IDEAS

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    Cited by:

    1. Yi Wang & Ronnel King & Shing On Leung, 2023. "Understanding Chinese Students' Well-Being: A Machine Learning Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(2), pages 581-616, April.
    2. Eirini Leriou, 2023. "Understanding and Measuring Child Well-being in the Region of Attica, Greece: Round Five," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1395-1451, August.
    3. Eirini Leriou, 2022. "Understanding and Measuring Child Well-being in the Region of Attica, Greece: Round four," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(6), pages 1967-2011, December.

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