Latent Class Models for the Analysis of Behavioral Hierarchies
开发了用于分析行为层级的潜类模型，推广了古特曼量表模型，并提出了“特征模型”来处理项目集合的层级关系，用消费者投诉数据进行了示例分析。
The author develops and describes latent class models useful for the analysis of behavioral hierarchies. The latent class models investigated are generalizations of the Guttman scale model and consider probabilistic relationships of item response to scale type and multiple hierarchical orderings of item responses. In addition, the author develops models for hierarchies that are present at the level of sets of items rather than at the level of individual items. He calls them “characteristics models” and examines their relationship to models for hierarchies of items. The models are illustrated on consumer complaint data gathered from a cross-sectional survey.