Moustaki Irini
Department of Statistics, Athens University of Economics and Business, Greece.
Br J Math Stat Psychol. 2003 Nov;56(Pt 2):337-57. doi: 10.1348/000711003770480075.
Previous work on a general class of multidimensional latent variable models for analysing ordinal manifest variables is extended here to allow for direct covariate effects on the manifest ordinal variables and covariate effects on the latent variables. A full maximum likelihood estimation method is used to estimate all the model parameters simultaneously. Goodness-of-fit statistics and standard errors are discussed. Two examples from the 1996 British Social Attitudes Survey are used to illustrate the methodology.
此前针对用于分析有序显变量的一类通用多维潜变量模型所开展的研究，在此处得到了扩展，以纳入对显序变量的直接协变量效应以及对潜变量的协变量效应。采用了一种完全最大似然估计方法来同时估计所有模型参数。讨论了拟合优度统计量和标准误差。使用了1996年英国社会态度调查中的两个例子来说明该方法。
