Causal Analysis and Latent Class Models: An Application to a Communication Hierarchy of Effects Model
展示了如何使用潜在结构分析来检验实验设计中的因果假设，通过两个潜在因素（唤醒和顺从）解释传播效果层级模型中的联系，并提出一种分阶段分析方法处理稀疏多向表。
The authors illustrate the use of latent structure analysis to test, in a confirmatory sense, causal hypotheses in an experimental design setting. Two latent factors conceptualized as arousal and yielding are hypothesized to explain the linkages in a communication hierarchy of effects model. A stagewise analysis is proposed which can help in the analysis of multiway tables characterized by cell sparseness. In addition, the analysis addresses the case of polytomous latent factors and polytomous manifest variables.