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CONCEPTUAL ANALYSIS article
Front. Psychol.
Sec. Positive Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1515423
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Purpose: Several decades of research on well-being has resulted in a variety of conceptual models used to measure well-being. The historical motivations behind these conceptual models have emphasized their differences to the point of clouding the well-being measurement landscape. A synthesis of the well-being literature is needed to move the field forward and guide future research. Methods: In this review, we synthesize literature on the measurement of well-being from the past 50 years and present The Hierarchical Framework of Well-being (HiFWB) that organizes multiple prior models. Results: We propose a general factor of well-being (i.e., “h” factor) at the top level of the hierarchy analogous to “g” in the intelligence literature and “p” in the psychopathology literature. Building off Diener’s (1984) initial conceptualizations, we define general well-being as “the experience of personally valued fulfillment within one’s life”. We detail the theoretical rationale and empirical evidence behind four hierarchical levels: general (i.e., “h” factor), lenses (e.g., subjective well-being), contents (e.g., affects), and characteristics (e.g., positive affect). Example well-being constructs are proposed for each level of HiFWB while emphasizing the hierarchical structure is prioritized above any (arbitrary) list of constructs. We discuss various approaches to distinguishing predictors of well-being from well-being itself (i.e., preventing tautologies) and how they fit into our framework. Considering the bulk of the empirical evidence comes from Western, Educated, Industrialized, Rich, Democratic (WEIRD) cultures, constraints on generalizability are important. Throughout, we compare and contrast HiFWB to other hierarchical structures in psychological science (e.g., five factor model of personality). Conclusion: The HiFWB is a flexible, encompassing, evidence-based framework for well-being conceptualization and measurement in WEIRD populations.
Keywords: Well-being, happiness, Quality of Life, Measurement, assessment
Received: 22 Oct 2024; Accepted: 11 Feb 2025.
Copyright: © 2025 Disabato, Goodman and Kashdan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
David J Disabato, Baldwin Wallace University, Berea, United States
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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