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Social Indicators Research

Erschienen in:

01.09.2013

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

verfasst von: Björn Halleröd, Daniel Seldén

Erschienen in: Social Indicators Research | Ausgabe 3/2013

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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.

Vorheriger Artikel Why is Housing Always Satisfactory? A Study into the Impact of Preference and Experience on Housing Appreciation

Nächster Artikel Construction, Validation and Application of the Measurement of Social Cohesion in 47 European Countries and Regions

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Titel: The Multi-dimensional Characteristics of Wellbeing: How Different Aspects of Wellbeing Interact and Do Not Interact with Each Other
verfasst von: Björn Halleröd
Daniel Seldén
Publikationsdatum: 01.09.2013
Verlag: Springer Netherlands
Erschienen in: Social Indicators Research / Ausgabe 3/2013
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-012-0115-8

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