Advancements to the Multi-System Model of Resilience: updates from empirical evidence

In this paper, we discuss further advancements to the Multi-System Model of Resilience through examining empirical factor structures of the Multi-System Model of Resilience Inventory along with other measures of resilience. Evidence from multiple sampled populations provided support for the three-sy...

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Main Authors: Jenny J.W. Liu, Maureen Reed, Kenneth P. Fung
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020316741
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author Jenny J.W. Liu
Maureen Reed
Kenneth P. Fung
author_facet Jenny J.W. Liu
Maureen Reed
Kenneth P. Fung
author_sort Jenny J.W. Liu
collection DOAJ
description In this paper, we discuss further advancements to the Multi-System Model of Resilience through examining empirical factor structures of the Multi-System Model of Resilience Inventory along with other measures of resilience. Evidence from multiple sampled populations provided support for the three-systems organization of the model and highlight its similarities and differences in relation to other measures of resilience. The MSMR conceptualizes resilience as a capacity that enables functioning across a continuum from vulnerability to resilience, whereby internal and external resources interface with dynamic coping processes in response to varying needs and goals. Meaningful applications of this model and future steps in model and measurement developments are discussed.
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spelling doaj.art-333f7870982449f5a05d69e96247bdb42022-12-21T17:00:50ZengElsevierHeliyon2405-84402020-09-0169e04831Advancements to the Multi-System Model of Resilience: updates from empirical evidenceJenny J.W. Liu0Maureen Reed1Kenneth P. Fung2Department of Psychiatry, Centre for Mental Health, University Health Network, Canada; Department of Psychology, Ryerson University, Toronto, ON, Canada; Corresponding author.Department of Psychology, Ryerson University, Toronto, ON, CanadaDepartment of Psychiatry, Centre for Mental Health, University Health Network, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, CanadaIn this paper, we discuss further advancements to the Multi-System Model of Resilience through examining empirical factor structures of the Multi-System Model of Resilience Inventory along with other measures of resilience. Evidence from multiple sampled populations provided support for the three-systems organization of the model and highlight its similarities and differences in relation to other measures of resilience. The MSMR conceptualizes resilience as a capacity that enables functioning across a continuum from vulnerability to resilience, whereby internal and external resources interface with dynamic coping processes in response to varying needs and goals. Meaningful applications of this model and future steps in model and measurement developments are discussed.http://www.sciencedirect.com/science/article/pii/S2405844020316741PsychologyResilienceAdversityMulti-system resiliencePsychological resilienceCommunity resilience
spellingShingle Jenny J.W. Liu
Maureen Reed
Kenneth P. Fung
Advancements to the Multi-System Model of Resilience: updates from empirical evidence
Heliyon
Psychology
Resilience
Adversity
Multi-system resilience
Psychological resilience
Community resilience
title Advancements to the Multi-System Model of Resilience: updates from empirical evidence
title_full Advancements to the Multi-System Model of Resilience: updates from empirical evidence
title_fullStr Advancements to the Multi-System Model of Resilience: updates from empirical evidence
title_full_unstemmed Advancements to the Multi-System Model of Resilience: updates from empirical evidence
title_short Advancements to the Multi-System Model of Resilience: updates from empirical evidence
title_sort advancements to the multi system model of resilience updates from empirical evidence
topic Psychology
Resilience
Adversity
Multi-system resilience
Psychological resilience
Community resilience
url http://www.sciencedirect.com/science/article/pii/S2405844020316741
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