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ORIGINAL RESEARCH article

Front. Psychol.
Sec. Positive Psychology
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1458946

Evaluating Flourishing: A Comparative Analysis of Four Measures Using Item Pool Visualization

Provisionally accepted
  • 1 Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
  • 2 Johannes Kepler University of Linz, Linz, Upper Austria, Austria

The final, formatted version of the article will be published soon.

    The construct of flourishing, which refers to a high level of well-being, is a key concept in the field of positive psychology. Nevertheless, despite the proliferation of questionnaires attempting to measure well-being and flourishing, there is still an ongoing debate in the scientific community about the definition and assessment of both, which makes the choice of appropriate measures a major challenge. This study addresses this uncertainty through a comparative analysis of four widely used flourishing measures in a German-speaking sample, to enable researchers to make a reasonable choice among the measures available: the PERMA-Profiler, the Mental Health Continuum-Short Form, the Flourishing Scale, and the Well-being Conceptual Framework. To enhance the understanding of these four measures, we compared and contrasted the instruments using Item Pool Visualization (IPV), an illustrative approach that generates item pools from the same dataset and displays them as nested radar maps. Our research indicates that all four measures are useful in measuring the concept of flourishing. However, they differ from each other depending on specific interest (from a broader to a narrower view). If the aim is to get a comprehensive overview of flourishing, then the PERMA-Profiler, the Mental Health Continuum-Short Form, and the Flourishing Scale are appropriate options. If the focus is on measuring a more central concept, the Well-being Conceptual Framework provides the most specific assessment of flourishing.

    Keywords: flourishing, Well-being, Positive Psychology, Item Pool Visualization (IPV), structural equation modeling (SEM), self-report

    Received: 03 Jul 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Ploke, Batinic and Stieger. 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: Veronika Ploke, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria

    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.