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An ecological systems model of trait resilience: Cross-cultural and clinical relevance
© 2016. The study explored how scores on the three dimensions of the Engineering, Ecological, and Adaptive Capacity (EEA) trait resilience scale, derived from Holling's ecological systems theory of resilience, demonstrate fit within higher-order bifactor models of measurement, cultural invarian...
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| Main Authors: | , , , , , , , , |
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| Format: | Default Article |
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2016
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| Online Access: | https://hdl.handle.net/2134/21550 |
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| _version_ | 1818172012215926784 |
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| author | John Maltby Liz Day Magdalena Zemojtel-Piotrowska Jarosław Piotrowski Hidefumi Hitokoto Tomasz Baran Ceri Jones Anjalee Chakravarty-Agbo Heather Flowe |
| author_facet | John Maltby Liz Day Magdalena Zemojtel-Piotrowska Jarosław Piotrowski Hidefumi Hitokoto Tomasz Baran Ceri Jones Anjalee Chakravarty-Agbo Heather Flowe |
| author_sort | John Maltby (562551) |
| collection | Figshare |
| description | © 2016. The study explored how scores on the three dimensions of the Engineering, Ecological, and Adaptive Capacity (EEA) trait resilience scale, derived from Holling's ecological systems theory of resilience, demonstrate fit within higher-order bifactor models of measurement, cultural invariance, and associations with clinical caseness of affect. Three samples (295 US adults, and 179 Japanese and 251 Polish university students) completed the EEA trait resilience scale. In addition, a subsample of US adults were administered the Ten-Item Personality Inventory and the Hospital Anxiety and Depression Scale). Across all samples, a higher-order bifactor model provided the best fit of the data, with salience of loadings on the three group factors. A multi-group comparison found configural invariance, but neither metric nor scalar invariance, for EEA resilience scores across the three samples. Among the US sample, engineering and adaptive trait resilience scores predicted clinical caseness of depression, and adaptive trait resilience scores predicted clinical caseness of anxiety, after controlling for sex, age, income, education, employment, and personality. The findings suggest the cross-cultural replicability of the structure (but not the meaning) of the three-factor EEA measure of trait resilience, and its relevance for predicting clinical caseness of affect among a US sample. |
| format | Default Article |
| id | rr-article-9624857 |
| institution | Loughborough University |
| publishDate | 2016 |
| record_format | Figshare |
| spelling | rr-article-96248572016-01-01T00:00:00Z An ecological systems model of trait resilience: Cross-cultural and clinical relevance John Maltby (562551) Liz Day (763840) Magdalena Zemojtel-Piotrowska (7245503) Jarosław Piotrowski (7245506) Hidefumi Hitokoto (7245509) Tomasz Baran (2923791) Ceri Jones (372142) Anjalee Chakravarty-Agbo (7245512) Heather Flowe (1259874) Other health sciences not elsewhere classified Resilience Adaptation Recovery Depression Anxiety Psychometrics Medical and Health Sciences not elsewhere classified © 2016. The study explored how scores on the three dimensions of the Engineering, Ecological, and Adaptive Capacity (EEA) trait resilience scale, derived from Holling's ecological systems theory of resilience, demonstrate fit within higher-order bifactor models of measurement, cultural invariance, and associations with clinical caseness of affect. Three samples (295 US adults, and 179 Japanese and 251 Polish university students) completed the EEA trait resilience scale. In addition, a subsample of US adults were administered the Ten-Item Personality Inventory and the Hospital Anxiety and Depression Scale). Across all samples, a higher-order bifactor model provided the best fit of the data, with salience of loadings on the three group factors. A multi-group comparison found configural invariance, but neither metric nor scalar invariance, for EEA resilience scores across the three samples. Among the US sample, engineering and adaptive trait resilience scores predicted clinical caseness of depression, and adaptive trait resilience scores predicted clinical caseness of anxiety, after controlling for sex, age, income, education, employment, and personality. The findings suggest the cross-cultural replicability of the structure (but not the meaning) of the three-factor EEA measure of trait resilience, and its relevance for predicting clinical caseness of affect among a US sample. 2016-01-01T00:00:00Z Text Journal contribution 2134/21550 https://figshare.com/articles/journal_contribution/An_ecological_systems_model_of_trait_resilience_Cross-cultural_and_clinical_relevance/9624857 CC BY-NC-ND 4.0 |
| spellingShingle | Other health sciences not elsewhere classified Resilience Adaptation Recovery Depression Anxiety Psychometrics Medical and Health Sciences not elsewhere classified John Maltby Liz Day Magdalena Zemojtel-Piotrowska Jarosław Piotrowski Hidefumi Hitokoto Tomasz Baran Ceri Jones Anjalee Chakravarty-Agbo Heather Flowe An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title | An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title_full | An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title_fullStr | An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title_full_unstemmed | An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title_short | An ecological systems model of trait resilience: Cross-cultural and clinical relevance |
| title_sort | ecological systems model of trait resilience: cross-cultural and clinical relevance |
| topic | Other health sciences not elsewhere classified Resilience Adaptation Recovery Depression Anxiety Psychometrics Medical and Health Sciences not elsewhere classified |
| url | https://hdl.handle.net/2134/21550 |