Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0225932
Title: Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults
Authors: Ryan, J
Curtis, R
Olds, T
Edney, S 
Vandelanotte, C
Plotnikoff, R
Maher, C
Keywords: Adolescent
Adult
Aged
Anxiety
Australia
Depression
Female
Humans
Male
Mental Disorders
Mental Health
Middle Aged
Psychometrics
Public Health Surveillance
Quality of Life
Registries
Young Adult
Issue Date: 1-Dec-2019
Publisher: Public Library of Science (PLoS)
Citation: Ryan, J, Curtis, R, Olds, T, Edney, S, Vandelanotte, C, Plotnikoff, R, Maher, C (2019-12-01). Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. PLoS ONE 14 (12) : e0225932-. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0225932
Abstract: 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.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/226746
ISSN: 19326203
DOI: 10.1371/journal.pone.0225932
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