A higher-order model of community resilience potential: development and assessment through confirmatory composite analysis based on partial least squares
Articolo
Data di Pubblicazione:
2022
Abstract:
The topic of community resilience attracts as much academic research as it does social media. Understanding the drivers of change and community adaptation in the face of critical events is a key clue to governance actions and local measures. However, both academia and the media often provide partial definitions of community resilience. Beginning with an integration of theory-driven and data-driven knowledge, the study aims to uncover and operationalize the building blocks of community resilience potential within a measurement tool. An assessment study, conducted on 1278 participants from diverse communities statistically supported a broad, inclusive model: Community Resilience Potential is composed of four main constituents (social capital, community competence, structural-functional potential, socio-economic potential). The Confirmatory Composite Analysis formalized for Partial Least-Squares Structural Equation Modeling revealed its good psychometric properties and measurement invariance. Although the study has limitations, it provides researchers with a valuable, theoretically grounded, widely-applicable tool for the investigation of the community resilience potential.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Community resilience, Scale validation, PLS-CCA, Higher order latent variables
Elenco autori:
Pasca, Paola; De Simone, Evelyn; Ciavolino, Enrico; Rochira, Alessia; Mannarini, Terri
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