Wolfe Edward W, Singh Kusum
Pearson, 2510 N. Dodge St., MS-125, Iowa City, IA 52245-9945, USA.
J Appl Meas. 2011;12(3):212-21.
This paper compares the results of applications of the Multidimensional Random Coefficients Multinomial Logit Model (MRCMLM) to comparable Structural Equation Model (SEM) applications for the purpose of conducting a Confirmatory Factor Analysis (CFA). We review SEM as it is applied to CFA, identify some parallels between the MRCMLM approach to CFA and that utilized in a standard SEM CFA, and illustrate the comparability of MRCMLM and SEM CFA results for three datasets. Results indicate that the two approaches tend to identify similar dimensional models as exhibiting best fit and provide comparable depictions of latent variable correlations, but the two procedures depict the reliability of measures differently.
本文比较了多维随机系数多项逻辑模型（MRCMLM）的应用结果与用于进行验证性因素分析（CFA）的可比结构方程模型（SEM）的应用结果。我们回顾了应用于CFA的SEM，确定了MRCMLM方法与标准SEM CFA中使用的方法在CFA方面的一些相似之处，并说明了MRCMLM和SEM CFA对三个数据集结果的可比性。结果表明，这两种方法倾向于将相似的维度模型识别为显示出最佳拟合，并提供潜在变量相关性的可比描述，但这两种程序对测量可靠性的描述有所不同。
