Multilevel factor models for ordinal variables
Multilevel factor models for ordinal variables
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DOI：
10.1207/s15328007sem1401_1
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发表时间：
2007-01-01
影响因子：
6
通讯作者：
Rampichini, Carla
中科院分区：
文献类型：
--
作者：
Grilli, Leonardo;Rampichini, Carla
这篇文章解决了几个问题，涉及到指定，拟合和解释的结果，有序变量的多水平因子模型。首先，模型规格和识别的问题得到解决，概述参数解释。特别注意的是对解释的后果，从通常的选择，不分解成层次的组成部分的具体情况。然后概述了分析的一般策略，突出了探索性步骤的作用。通过应用毕业生的工作满意度，其中估计是基于最大似然通过期望最大化算法与自适应正交的理论主题进行说明。
This article tackles several issues involved in specifying, fitting, and interpreting the results of multilevel factor models for ordinal variables. First, the problem of model specification and identification is addressed, outlining parameter interpretation. Special attention is devoted to the consequences on interpretation stemming from the usual choice of not decomposing the specificities into hierarchical components. Then a general strategy of analysis is outlined, highlighting the role of the exploratory steps. The theoretical topics are illustrated through an application to graduates' job satisfaction, where estimation is based on maximum likelihood via an Expectation-Maximization algorithm with adaptive quadrature.