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Confirmatory Factor Analysis for the Multidimensional Scale of Perceived Social Support in a Sample of Early Retirees Enrolled in University Programs

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ABSTRACT Objective: The aims of this study were twofold—first, to use confirmatory factor analysis (CFA) to help assess which of the previously identified factor structures (identified through exploratory factor analysis)… Click to show full abstract

ABSTRACT Objective: The aims of this study were twofold—first, to use confirmatory factor analysis (CFA) to help assess which of the previously identified factor structures (identified through exploratory factor analysis) best fits a Spanish-language version of the Multidimensional Scale of Perceived Social Support (MSPSS), and second, to validate the MSPSS (and its subscales) for use among early retirees. Methods: The psychometric properties of the MPSS were analyzed in a sample of 991 Spanish early retirees enrolled in university programs. Participants had an average age of 62.7 years (SD = 5.89). An exploratory factor analysis and second-order confirmatory factor analysis were developed to identify the factorial solution and the best model fit. Results: The three factors identified were MSPSS significant others, MSPSS friends, and MSPSS family. Regarding reliability and validity, internal consistency indices were above .92 and the correlation between perceived social support subscales and measures of satisfaction with life in retirement were significantly positive. Conclusion: The Spanish language version of the MSPSS demonstrates acceptable psychometric properties in relation to internal structure and reliability, and all but one of the goodness-of-fit indices emerging from the CFA also supported this factor structure. The practical implications of the scale in different populations and the problems in relation to the three-factor solution and the index values obtained are discussed.

Keywords: factor analysis; confirmatory factor; social support; factor; perceived social

Journal Title: Clinical Gerontologist
Year Published: 2017

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