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. 2015 Jan;19(1):32-45.
doi: 10.1080/13607863.2014.909383. Epub 2014 May 1.

Development of a new multidimensional individual and interpersonal resilience measure for older adults

A'verria Sirkin Martin  1 , Brian Distelberg, Barton W Palmer, Dilip V Jeste
Affiliations

Development of a new multidimensional individual and interpersonal resilience measure for older adults

A'verria Sirkin Martin et al. Aging Ment Health. 2015 Jan.

Abstract

Objectives: Develop an empirically grounded measure that can be used to assess family and individual resilience in a population of older adults (aged 50-99).

Methods: Cross-sectional, self-report data from 1006 older adults were analyzed in two steps. The total sample was split into two subsamples and the first step identified the underlying latent structure through principal component exploratory factor analysis (EFA). The second step utilized the second half of the sample to validate the derived latent structure through confirmatory factor analysis (CFA).

Results: EFA produced an eight-factor structure that appeared clinically relevant for measuring the multidimensional nature of resilience. Factors included self-efficacy, access to social support network, optimism, perceived economic and social resources, spirituality and religiosity, relational accord, emotional expression and communication, and emotional regulation. CFA confirmed the eight-factor structure previously achieved with covariance between each of the factors. Based on these analyses we developed the multidimensional individual and interpersonal resilience measure, a broad assessment of resilience for older adults.

Conclusion: This study highlights the multidimensional nature of resilience and introduces an individual and interpersonal resilience measure developed for older adults which is grounded in the individual and family resilience literature.

Keywords: factor analysis; family resilience; individual resilience; older adults; successful aging.

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Figures

Figure 1
Figure 1
Significant Pathways in First Order Confirmatory Factor Analysis
See this image and copyright information in PMC

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