Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0225932
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dc.titlePsychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults
dc.contributor.authorRyan, J
dc.contributor.authorCurtis, R
dc.contributor.authorOlds, T
dc.contributor.authorEdney, S
dc.contributor.authorVandelanotte, C
dc.contributor.authorPlotnikoff, R
dc.contributor.authorMaher, C
dc.date.accessioned2022-06-08T07:51:09Z
dc.date.available2022-06-08T07:51:09Z
dc.date.issued2019-12-01
dc.identifier.citationRyan, 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
dc.identifier.issn19326203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/226746
dc.description.abstractIntroduction 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.
dc.publisherPublic Library of Science (PLoS)
dc.sourceElements
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAnxiety
dc.subjectAustralia
dc.subjectDepression
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectMental Disorders
dc.subjectMental Health
dc.subjectMiddle Aged
dc.subjectPsychometrics
dc.subjectPublic Health Surveillance
dc.subjectQuality of Life
dc.subjectRegistries
dc.subjectYoung Adult
dc.typeArticle
dc.date.updated2022-06-07T05:24:47Z
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.1371/journal.pone.0225932
dc.description.sourcetitlePLoS ONE
dc.description.volume14
dc.description.issue12
dc.description.pagee0225932-
dc.published.statePublished
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