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Exploring Diener's Multidimensional Conceptualization of Well-Being Through Network Psychometrics
Laura Giuntoli1, Giulio Vidotto1
1Department of General Psychology, University of Padova, Padova, Italy.
Psychological Reports
|April 12, 2020
Summary
Network psychometrics reveal well-being indicators group by information type, not hedonic/eudaimonic. This data-driven approach redefines the structure of subjective well-being, moving beyond theoretical assumptions.
Area of Science:
- Psychology
- Psychometrics
Background:
- Previous research explored well-being structure using latent variable approaches, often distinguishing hedonic and eudaimonic dimensions.
- Diener's tripartite model of Subjective Well-Being (SWB) typically aligns hedonic well-being with life satisfaction and eudaimonic well-being with flourishing.
Purpose of the Study:
- To investigate the structure of well-being dimensions using a data-driven network psychometrics approach.
- To propose a strength centrality decomposition to analyze indicator influence within and between dimensions.
- To challenge the theoretical distinction between hedonic and eudaimonic well-being in favor of an empirically derived structure.
Main Methods:
- Employed network psychometrics to allow the well-being structure to emerge from the relationships among indicators.
- Utilized strength centrality decomposition to quantify the influence of individual well-being indicators.
- Analyzed Diener's well-being indicators in a data-driven manner, bypassing pre-defined theoretical structures.
Main Results:
- Results indicated that well-being indicators do not separate based on the traditional hedonic-eudaimonic distinction.
- A data-driven categorization emerged, grouping indicators by the type of information they convey: global life satisfaction, affective experiences, and perceived functioning.
- Strength centrality analysis provided insights into the interconnectedness and influence of specific indicators within the well-being structure.
Conclusions:
- The study suggests that the structure of well-being is better understood by the nature of information indicators provide, rather than a strict hedonic-eudaimonic divide.
- Network psychometrics offers a valuable alternative to theory-driven approaches for uncovering the complex structure of psychological constructs like well-being.
- The findings necessitate a re-evaluation of how well-being components are conceptualized and measured, emphasizing empirical relationships over theoretical assumptions.
Keywords:
Diener’s modelbetween and within expected influenceexpected influenceflourishinghedonic and eudaimonic well-beingnetwork analysissubjective well-beingMore Related Videos
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