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感知社会支持多维量表的结构:一项元分析验证性因素分析

The structure of the multidimensional scale of perceived social support: a meta-analytic confirmatory factor analysis.

作者信息

Koğar Hakan, Yılmaz Koğar Esin

机构信息

Faculty of Education, Akdeniz University, Antalya, Türkiye.

Faculty of Education, Niğde Ömer Halisdemir University, Niğde, Türkiye.

出版信息

Glob Ment Health (Camb). 2024 Dec 25;11:e126. doi: 10.1017/gmh.2024.118. eCollection 2024.

Abstract

One of the most popular instruments used to assess perceived social support is the Multidimensional Scale of Perceived Social Support (MSPSS). Although the original structure of the MSPSS was defined to include three specific factors (significant others, friends and family), studies in the literature propose different factor solutions. In this study, we addressed the controversial factor structure of the MSPSS using a meta-analytic confirmatory factor analysis approach. For this purpose, we utilized studies in the literature that examined and reported the internal structure of the MSPSS. However, we used summary data from 59 samples of 54 studies (total  = 27,905) after excluding studies that did not meet the inclusion criteria. We tested five different models discussed in the literature and found that the fit indices of the correlated 3-factor model and the bifactor model were quite good. Therefore, we also examined both models' factor loadings and omega coefficients. Since there was no sharp difference between the two models and the theoretical structure of the scale was represented by the correlated three factors, we decided that the correlated three-factor model was more appropriate for the internal structure of the MSPSS. We then examined the measurement invariance for this model according to language and sample type (clinical and nonclinical) and found that metric invariance was achieved. As a result, we found that the three-factor structure of the MSPSS was supported in this study.

摘要

用于评估感知到的社会支持的最常用工具之一是多维感知社会支持量表(MSPSS)。尽管MSPSS的原始结构被定义为包括三个特定因素(重要他人、朋友和家人),但文献中的研究提出了不同的因素解决方案。在本研究中,我们使用元分析验证性因素分析方法解决了MSPSS存在争议的因素结构问题。为此,我们利用了文献中检验并报告了MSPSS内部结构的研究。然而,在排除不符合纳入标准的研究后,我们使用了54项研究中59个样本的汇总数据(总计=27905)。我们测试了文献中讨论的五种不同模型,发现相关三因素模型和双因素模型的拟合指数相当好。因此,我们还检查了这两个模型的因素负荷和ω系数。由于这两个模型之间没有明显差异,且量表的理论结构由相关的三个因素表示,我们认为相关三因素模型更适合MSPSS的内部结构。然后,我们根据语言和样本类型(临床和非临床)检查了该模型的测量不变性,发现实现了度量不变性。结果,我们发现在本研究中MSPSS的三因素结构得到了支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6627/11704376/8052f7d4adfa/S2054425124001183_fig1.jpg

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