The measurement and role of ecological resilience systems theory across domain-specific outcomes: the domain-specific resilient systems scales

Maltby, John and Day, Liz and Hall, Sophie S. and Chivers, Sally (2017) The measurement and role of ecological resilience systems theory across domain-specific outcomes: the domain-specific resilient systems scales. Assessment . p. 107319111773804. ISSN 1073-1911

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Abstract

Research suggests that trait resilience may be best understood within an ecological resilient systems theory, comprising engineering, ecological, and adaptive capacity resilience. However, there is no evidence as to how this theory translates to specific life domains. Data from two samples (the United States, n = 1,278; the United Kingdom, n = 211) facilitated five studies that introduce the Domain-Specific Resilient Systems Scales for assessing ecological resilient systems theory within work, health, marriage, friendships, and education. The Domain-Specific Resilient Systems Scales are found to predict unique variance in job satisfaction, lower job burnout, quality-of-life following illness, marriage commitment, and educational engagement, while controlling for factors including sex, age, personality, cognitive ability, and trait resilience. The findings also suggest a distinction between the three resilience dimensions in terms of the types of systems to which they contribute. Engineering resilience may contribute most to life domains where an established system needs to be maintained, for example, one’s health. Ecological resilience may contribute most to life domains where the system needs sustainability in terms of present and future goal orientation, for example, one’s work. Adaptive Capacity may contribute most to life domains where the system needs to be retained, preventing it from reaching a crisis state, for example, work burnout.

Keywords:resilience, measurement, health, work, education, marriage, friendship
Subjects:C Biological Sciences > C180 Ecology
Divisions:College of Science > School of Life Sciences
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ID Code:29386
Deposited On:28 Nov 2017 11:57

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