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针对参加大学课程的提前退休人员样本的多维感知社会支持量表的验证性因素分析。

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

作者信息

López Ramos Yolanda, Fernández Muñoz Juan José, Navarro-Pardo Esperanza, Murphy Mike

机构信息

a Valencia University , Valencia , Spain.

b Rey Juan Carlos University , Alcorcon , Spain.

出版信息

Clin Gerontol. 2017 Jul-Sep;40(4):241-248. doi: 10.1080/07317115.2016.1199077. Epub 2016 Jun 14.

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.

摘要

目的

本研究有两个目的——其一,使用验证性因素分析(CFA)来帮助评估先前确定的因素结构(通过探索性因素分析确定)中哪一个最适合西班牙语版的多维感知社会支持量表(MSPSS);其二,验证MSPSS(及其子量表)在提前退休人员中的适用性。

方法

在991名参加大学课程的西班牙提前退休人员样本中分析了MSPSS的心理测量特性。参与者的平均年龄为62.7岁(标准差=5.89)。开展了探索性因素分析和二阶验证性因素分析,以确定因素解和最佳模型拟合。

结果

确定的三个因素分别是MSPSS重要他人、MSPSS朋友和MSPSS家人。在信效度方面,内部一致性指数高于0.92,感知社会支持子量表与退休生活满意度测量之间的相关性显著为正。

结论

MSPSS西班牙语版在内部结构和信度方面表现出可接受的心理测量特性,CFA得出的拟合优度指数中除一个外均支持该因素结构。讨论了该量表在不同人群中的实际意义以及与三因素解和所得指数值相关的问题。

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