ORIGINAL RESEARCH article
Front. Psychol.
Sec. Quantitative Psychology and Measurement
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1592614
Psychometric evaluation and updated community norms of the WHO-5 well-being index, based on a representative German sample
Provisionally accepted- 1Ernst-Abbe-Hochschule Jena, Jena, Germany
- 2Zurich University of Applied Sciences, Winterthur, Zürich, Switzerland
- 3Ulm University Medical Center, Ulm, Germany
- 4University Medical Center Giessen, Giessen, Germany
- 5University Medical Centre, Johannes Gutenberg University Mainz, Mainz, Rhineland-Palatinate, Germany
- 6Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Lower Saxony, Germany
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The World Health Organization-Five Well-Being Index (WHO-5) is a widely used self-report measure for evaluating mental well-being in both general and clinical populations. This study examines the psychometric properties of the WHO-5 using a large, representative sample of the adult population in Germany (N = 2,515) and presents updated population norms. Analyses included item-level statistics such as means, standard deviations, and inter-item correlations. Construct validity was evaluated through correlations with measures of depression (PHQ-2), anxiety (GAD-2), somatic symptoms (SSS-8), and loneliness (UCLA Loneliness Scale). Internal consistency was measured using coefficient omega, while factorial validity was tested through confirmatory factor analysis based on a one-factor model. Measurement invariance was assessed across gender and age groups using multi-group confirmatory factor analyses. Population norms are reported for the total sample and various age groups. The findings confirm the strong psychometric properties of the WHO-5, including its internal consistency and construct validity. Measurement invariance results support comparability of scores across gender and age. The updated norms offer valuable benchmarks for clinical applications and epidemiological studies.
Keywords: Well-being, Self-report questionnaire, Population norms, Psychometrics, Measurement invariance
Received: 12 Mar 2025; Accepted: 26 Jun 2025.
Copyright: © 2025 Kliem, Lohmann, Fischer, Baier, Clemens, Sachser, Kampling, Braehler and Fegert. 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:
Sören Kliem, Ernst-Abbe-Hochschule Jena, Jena, Germany
Dirk Baier, Zurich University of Applied Sciences, Winterthur, 8401, Zürich, Switzerland
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