Flowe_An Ecological Systems Model of Resilience _ CC.pdf (184.83 kB)
An ecological systems model of trait resilience: Cross-cultural and clinical relevance
journal contributionposted on 2016-06-09, 11:06 authored by John Maltby, Liz Day, Magdalena Zemojtel-Piotrowska, Jarosław Piotrowski, Hidefumi Hitokoto, Tomasz Baran, Ceri Jones, Anjalee Chakravarty-Agbo, Heather Flowe
© 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.
- Sport, Exercise and Health Sciences
Published inPersonality and Individual Differences
Pages96 - 101
CitationMALTBY, J. ...et al., 2016. An ecological systems model of trait resilience: Cross-cultural and clinical relevance. Personality and Individual Differences, 98, pp. 96-101.
PublisherCrown Copyright © 2016 Published by Elsevier
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis paper was accepted for publication in the journal Personality and Individual Differences and the definitive published version is available at http://dx.doi.org/10.1016/j.paid.2016.03.100