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The Multi-dimensional Characteristics of Wellbeing: How Different Aspects of Wellbeing Interact and Do Not Interact with Each Other

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  • Björn Halleröd
  • Daniel Seldén

Abstract

Because wellbeing is a multi-varied and dynamic phenomenon, social scientists need to better understand how different aspects of people’s wellbeing are tied together and how these ties differ between individuals at one point in time and within individuals over time. The paper outlines a general model that considers the multidimensional structure of wellbeing. We utilize the potential of latent variable modelling on a unique Swedish database: the Panel Survey of Ageing and the Elderly (PSAE). An inclusive and flexible model that considers the interactions between semi-autonomous domains (material resources, health, psychosocial factors, lifestyle, etc.) is developed. Our empirical study is based on cross-sectional PSAE data and focuses on people 55 years or older (N = 5,374). The analysis takes advantage of recent developments in statistical theory in the field of latent variable modelling to bring about a more dynamic and theory confirming analysis of a multifaceted phenomenon such as wellbeing. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Björn Halleröd & Daniel Seldén, 2013. "The Multi-dimensional Characteristics of Wellbeing: How Different Aspects of Wellbeing Interact and Do Not Interact with Each Other," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 807-825, September.
    • Handle: RePEc:spr:soinre:v:113:y:2013:i:3:p:807-825
    DOI: 10.1007/s11205-012-0115-8
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    References listed on IDEAS

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    1. Chia-Huei Wu & Grace Yao, 2007. "Examining the relationship between global and domain measures of quality of life by three factor structure models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 84(2), pages 189-202, November.
    2. Veronika Huta & Lance Hawley, 2010. "Psychological Strengths and Cognitive Vulnerabilities: Are They Two Ends of the Same Continuum or Do They Have Independent Relationships with Well-being and Ill-being?," Journal of Happiness Studies, Springer, vol. 11(1), pages 71-93, March.
    3. Runt Veenhoven, 2002. "Why Social Policy Needs Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 58(1), pages 33-46, June.
    4. Halleröd, Björn & Gustafsson, Jan-Eric, 2011. "A longitudinal analysis of the relationship between changes in socio-economic status and changes in health," Social Science & Medicine, Elsevier, vol. 72(1), pages 116-123, January.
    5. Petra Böhnke, 2008. "Does Society Matter? Life Satisfaction in the Enlarged Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(2), pages 189-210, June.
    6. Björn Halleröd & Miia Bask, 2008. "Accumulation of Welfare Problems in a Longitudinal Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 88(2), pages 311-327, September.
    7. Garbarski, Dana, 2010. "Perceived social position and health: Is there a reciprocal relationship?," Social Science & Medicine, Elsevier, vol. 70(5), pages 692-699, March.
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    Cited by:

    1. Jeremy Heald & Erick Trevi~no Aguilar, 2020. "Does Subjective Well-being Contribute to Our Understanding of Mexican Well-being?," Papers 2004.11420, arXiv.org.
    2. Damian Sambuo & Stephen Kirama & Kitala Malamsha, 2020. "Analysis of Fish Landing Price on Subjective Wellbeing of Fishers Around Lake Victoria, Tanzania," Journal of Happiness Studies, Springer, vol. 21(5), pages 1823-1839, June.

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