DICHOTOMOUS FACTOR-ANALYSIS OF SYMPTOM DATA
DICHOTOMOUS FACTOR-ANALYSIS OF SYMPTOM DATA
复制标题
DOI：
10.1177/0049124189018001002
复制
发表时间：
1989-08-01
影响因子：
6.3
通讯作者：
MUTHEN, BO
中科院分区：
文献类型：
--
作者：
MUTHEN, BO
本文讨论了如何使用具有连续潜变量的因素模型来分析一组强倾斜的二分项，以及如何使用这样的模型来对主题进行分类。研究了正态分布潜变量规范的适宜性，如使用四次相关假设。探索性分析和验证性分析，包括具有平均结构的多个组，都被举例说明。实质性发现包括支持DSM-III抑郁症诊断中使用的项目的单维度，以及巴尔的摩和达勒姆地点的因素结构在很大程度上是不变的。
This article discusses how a factor model with continuous latent variables can be used to analyze a set of strongly skewed dichotomous items and how such a model can be used for classification of subjects. The suitability of the specification of normally distributed latent variables, as is assumed with the use of tetrachoric correlations, is investigated. Both exploratory and confirmatory analyses, including multiple groups with mean structures, are illustrated. Substantive findings include support for unidimensionality of the items used in the DSM-III diagnosis of depression and a large degree of invariance in factor structure for the Baltimore and Durham sites.