Previous research has addressed the study of the well-being structure focusing on the separability among hedonic and eudaimonic dimensions by means of latent variable approaches. Diener’s tripartite model of Subjective Well-Being has often been identified with hedonic well-being, while flourishing (i.e., positive functioning) has been classified as a proxy for eudaimonic well-being. Instead of pursuing a theory-driven approach, the structure of well-being dimensions can be retrieved by means of network psychometrics that is a highly informative, data-driven approach that allows the model structure to spontaneously emerge from the relationships among indicators. Furthermore, we propose a strength centrality decomposition that is able to summarize the influence of a specific indicator within its dimension and between the other dimensions. Contrary to the theoretical conjecture that the separability among well-being dimensions can be grounded on a hedonic and eudaimonic distinction, our results point to a categorization of the Diener’s well-being indicators based on the type of information they convey, that is global evaluation of life satisfaction, positive and negative affective experiences, and perceived positive functioning in life.

Exploring Diener’s Multidimensional Conceptualization of Well-Being Through Network Psychometrics

Giuntoli L.
;
Vidotto G.
2021

Abstract

Previous research has addressed the study of the well-being structure focusing on the separability among hedonic and eudaimonic dimensions by means of latent variable approaches. Diener’s tripartite model of Subjective Well-Being has often been identified with hedonic well-being, while flourishing (i.e., positive functioning) has been classified as a proxy for eudaimonic well-being. Instead of pursuing a theory-driven approach, the structure of well-being dimensions can be retrieved by means of network psychometrics that is a highly informative, data-driven approach that allows the model structure to spontaneously emerge from the relationships among indicators. Furthermore, we propose a strength centrality decomposition that is able to summarize the influence of a specific indicator within its dimension and between the other dimensions. Contrary to the theoretical conjecture that the separability among well-being dimensions can be grounded on a hedonic and eudaimonic distinction, our results point to a categorization of the Diener’s well-being indicators based on the type of information they convey, that is global evaluation of life satisfaction, positive and negative affective experiences, and perceived positive functioning in life.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3389017
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