Pyschmetric properties of the PERMA profiler for measuring wellbeing in Australian adults CQU.pdf (516.26 kB)
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Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults

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posted on 2022-08-24, 06:36 authored by J Ryan, R Curtis, T Olds, S Edney, Corneel VandelanotteCorneel Vandelanotte, R Plotnikoff, C Maher
Introduction This study evaluated the psychometric properties of the PERMA Profiler, a 15-item self-report measurement tool designed to measure Seligman’s five pillars of wellbeing: Positive emotions, Relationships, Engagement, Meaning, and Accomplishment. Methods Australian adults (N = 439) completed the PERMA Profiler and measures of physical and mental health (SF-12), depression, anxiety, stress (DASS 21), subjective physical activity (Active Australia Survey), and objective activity and sleep (GENEActiv accelerometer). Internal consistency was examined using Cronbach’s alpha and associations between theoretically related constructs examined using Pearson’s correlation. Model fit in comparison with theorised models was examined via Confirmatory Factor Analysis. Results Results indicated acceptable internal consistency for overall PERMA Profiler scores and all subscales (α range = 0.80–0.93) except Engagement (α = 0.66). Moderate associations were found between PERMA Profiler wellbeing scores with subjective constructs (e.g. depression, anxiety, stress; r = -0.374 - -0.645, p = <0.001) but not objective physical activity or sleep. Data failed to meet model fit criteria for neither the theorised five-factor nor an alternative single-factor structure. Conclusions Findings were mixed, providing strong support for the scale’s internal consistency and moderate support for congervent and divergent validity, albeit not in comparison to objectively captured activity outcomes. We could not replicate the theorised data structure nor an alternative, single factor structure. Results indicate insufficient psychometric properties of the PERMA Profiler. © 2019 Ryan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)






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Public Library of Science, USA

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CC BY 4.0

Peer Reviewed

  • Yes

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  • Yes

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External Author Affiliations

CSIRO; University of South Australia; The University of Newcastle

Author Research Institute

  • Appleton Institute

Era Eligible

  • Yes