Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults.
<h4>Introduction</h4>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.<h4>Methods&l...
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Public Library of Science (PLoS)
2019-01-01
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| author | Jillian Ryan Rachel Curtis Tim Olds Sarah Edney Corneel Vandelanotte Ronald Plotnikoff Carol Maher |
| author_facet | Jillian Ryan Rachel Curtis Tim Olds Sarah Edney Corneel Vandelanotte Ronald Plotnikoff Carol Maher |
| author_sort | Jillian Ryan |
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| description | <h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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. |
| format | Article |
| id | doaj-art-3c69ce02369f4530a3d4e726d8218646 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-3c69ce02369f4530a3d4e726d82186462025-08-20T02:55:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011412e022593210.1371/journal.pone.0225932Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults.Jillian RyanRachel CurtisTim OldsSarah EdneyCorneel VandelanotteRonald PlotnikoffCarol Maher<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0225932&type=printable |
| spellingShingle | Jillian Ryan Rachel Curtis Tim Olds Sarah Edney Corneel Vandelanotte Ronald Plotnikoff Carol Maher Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. PLoS ONE |
| title | Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. |
| title_full | Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. |
| title_fullStr | Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. |
| title_full_unstemmed | Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. |
| title_short | Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults. |
| title_sort | psychometric properties of the perma profiler for measuring wellbeing in australian adults |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0225932&type=printable |
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