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

English version

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
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0225932

Souhrn

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.

Klíčová slova:

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

Zdroje

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