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Title: An Ecological Systems Model of Resilience: Cross-cultural and clinical relevance
Authors: Maltby, John
Day, L.
Żemojtel-Piotrowska, M.
Piotrowski, J.
Hitokoto, H.
Baran, T.
Jones, Ceri
Chakravarty-Agbo, Anjalee
Flowe, H. D.
First Published: 2016
Publisher: Elsevier for International Society for the Study of Individual Differences (ISSID)
Citation: Personality and Individual Differences
Abstract: 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 threefactor EEA measure of trait resilience, and its relevance for predicting clinical caseness of affect among a US sample.
ISSN: 0191-8869
Links: TBA
Embargo on file until: 1-Jan-10000
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Creative Commons “Attribution Non-Commercial No Derivatives” licence CC BY-NC-ND, further details of which can be found via the following link:
Appears in Collections:Published Articles, Dept. of Neuroscience, Psychology and Behaviour

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