A Comprehensive Resiliency Framework: Theoretical Model, Treatment, and Evaluation
Autor: | Brett M. Goshe, Suzanne C. Lechner, Elyse R. Park, Christina M. Luberto, Ana-Maria Vranceanu, John W. Denninger, Lara Traeger, Gregory L. Fricchione, Daniel L. Hall, Herbert Benson, Emma Chad-Friedman, Giselle K. Perez, Margaret Baim |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Glob Adv Health Med Global Advances in Health and Medicine, Vol 10 (2021) |
Popis: | BackgroundThere is heterogeneity in conceptualizations of resiliency, and there is, to date, no established theoretically driven resiliency assessment measure that aligns with a targeted resiliency intervention. We operationalize resiliency as one’s ability to maintain adaptive functioning in response to the ongoing, chronic stress of daily living, and we use a novel resiliency measure that assesses the target components of an evidence based resiliency intervention. We present our resiliency theory, treatment model, and corresponding assessment measure (Current Experience Scale; CES).MethodsTo establish the psychometric properties of the CES, we report the factor structure and internal consistency reliability (N = 273). Among participants in our resiliency intervention (N = 151), we explored construct validity in terms of associations with theoretical model constructs, a validated resiliency measure, and sensitivity to change from before to after the intervention.ResultsResults indicated that a 23-item, 6-factor solution was a good fit to the data (RMSEA = .08, CFI = .97; TLI =.96) and internal consistency was good (α = .81 to .95). The CES showed correlations in the expected direction with resiliency model constructs (all p’s ConclusionOur resiliency theory, treatment model, and outcome appear aligned; the CES demonstrated promise as a psychometrically sound outcome measure for our resiliency intervention and may be used in future longitudinal studies and resiliency building interventions to assess individuals’ resiliency to adapt to ongoing stress. |
Databáze: | OpenAIRE |
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