<p>Recent decades have seen an explosion of interest in the interrelated concepts of well-being and flourishing, with myriad theories and frameworks aiming to elucidate these constructs. Most such work however has been constructed in a top-down theory-driven way, rather than emerging from the ground up in an open, data-driven, inductive process. As such, this paper takes the latter approach, using 38 relevant variables in the Gallup World Poll as a dataset, involving 391,656 participants across three waves (2020–2022). Through factor analysis we derived a data-driven model of well-being and flourishing, with seven factors (listed in order of emergence as factors): balance and harmony; negative states; positive states; positive life appraisal; material security; societal safety; and character and virtue. These seven may not be exhaustive, given that the World Poll does not capture <i>all</i> aspects of well-being/flourishing, and other factors may exist which we did not identify due to lacking the relevant items(s). Moreover, the seven-factor structure was not observed universally across countries and regions, which indicates some cross-cultural variation in the nature of well-being/flourishing. Nevertheless, our analysis provides a useful new lens through which to understand these important topics, complementing and extending existing theoretical work in this area.</p>

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Towards a Data-Driven and Globally-Informed Framework of Flourishing: A Seven-Factor Model Derived from Factor-Analysis of 38 Indicators in the Gallup World Poll

  • Tim Lomas,
  • R. Noah Padgett,
  • Johannes Eichstaedt,
  • James O. Pawelski,
  • Katherine E. Battle,
  • Chris Felton,
  • Tyler J. VanderWeele

摘要

Recent decades have seen an explosion of interest in the interrelated concepts of well-being and flourishing, with myriad theories and frameworks aiming to elucidate these constructs. Most such work however has been constructed in a top-down theory-driven way, rather than emerging from the ground up in an open, data-driven, inductive process. As such, this paper takes the latter approach, using 38 relevant variables in the Gallup World Poll as a dataset, involving 391,656 participants across three waves (2020–2022). Through factor analysis we derived a data-driven model of well-being and flourishing, with seven factors (listed in order of emergence as factors): balance and harmony; negative states; positive states; positive life appraisal; material security; societal safety; and character and virtue. These seven may not be exhaustive, given that the World Poll does not capture all aspects of well-being/flourishing, and other factors may exist which we did not identify due to lacking the relevant items(s). Moreover, the seven-factor structure was not observed universally across countries and regions, which indicates some cross-cultural variation in the nature of well-being/flourishing. Nevertheless, our analysis provides a useful new lens through which to understand these important topics, complementing and extending existing theoretical work in this area.