Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults

Autoři: Jillian Ryan aff001;  Rachel Curtis aff002;  Tim Olds aff002;  Sarah Edney aff002;  Corneel Vandelanotte aff003;  Ronald Plotnikoff aff004;  Carol Maher aff002
Působiště autorů: Precision Health Future Science Platform, Commonwealth Scientific and Industrial Research Organisation, Adelaide, South Australia, Australia aff001;  Alliance for Research in Exercise, Nutrition, and Activity, University of South Australia, Adelaide, South Australia, Australia aff002;  Physical Activity Research Group, School of Health Medical and Applied Sciences, Central Queensland University, Norman Gardens, Queensland, Australia aff003;  Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, New South Wales, Australia aff004
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225932



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.


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 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.


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.

Klíčová slova:

Accelerometers – Anxiety – Depression – Emotions – Factor analysis – Mental health and psychiatry – Physical activity – Psychological stress


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Článek vyšel v časopise


2019 Číslo 12