Testing measurement invariance of second-order factor models
Testing measurement invariance of second-order factor models
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DOI：
10.1080/10705510701301834
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发表时间：
2005-01-01
影响因子：
6
通讯作者：
West, SG
中科院分区：
文献类型：
--
作者：
Chen, FF;Sousa, KH;West, SG
我们说明了使用生活质量数据集（n = 924）在二阶因子模型中测试测量不变性。在一组分层结构水平上对2组进行测量不变性检验：（a）结构不变性，（B）一阶因子负荷，（c）二阶因子负荷，（d）测量变量的截距，（e）一阶因子的截距，（f）一阶因子的干扰，（g）观察变量的残差方差。考虑到在因子加载和截距水平下实现了测量不变性，还估计了组间高阶因子的潜在因子均值差。使用LISREL 8.51程序在验证性因素分析的框架内对均值和协方差结构进行分析。讨论了二阶因素模型和测量不变性在心理学研究中的意义。
We illustrate testing measurement invariance in a second-order factor model using a quality of life dataset (n = 924). Measurement invariance was tested across 2 groups at a set of hierarchically structured levels: (a) configural invariance, (b) first-order factor loadings, (c) second-order factor loadings, (d) intercepts of measured variables, (e) intercepts of first-order factors, (f) disturbances of first-order factors, and (g) residual variances of observed variables. Given that measurement invariance at the factor loading and intercept levels was achieved, the latent factor mean difference on the higher order factor between the groups was also estimated. The analyses were performed on the mean and covariance structures within the framework of the confirmatory factor analysis using the LISREL 8.51 program. Implications of second-order factor models and measurement invariance in psychological research were discussed.