Muthen Bengt, Asparouhov Tihomir
UCLA, United States.
Addict Behav. 2006 Jun;31(6):1050-66. doi: 10.1016/j.addbeh.2006.03.026. Epub 2006 May 3.
This paper illustrates new hybrid latent variable models that are promising for phenotypical analyses. The hybrid models combine features of dimensional and categorical analyses seen in the conventional techniques of factor analysis and latent class analysis. The paper focuses on the analysis of categorical items, which presents especially challenging analyses with hybrid models and has recently been made practical in the Mplus program. The hybrid models are typically seen to fit data better than conventional models of factor analysis (IRT) and latent class analysis. An illustration is given in the form of analysis of tobacco dependence in a general population survey.
本文阐述了在表型分析方面颇具前景的新型混合潜变量模型。这些混合模型结合了因子分析和潜类别分析等传统技术中维度分析和分类分析的特点。本文重点关注分类项目的分析，这对混合模型而言是特别具有挑战性的分析，并且最近在Mplus程序中已变得切实可行。通常可以看到，混合模型比传统的因子分析模型（IRT）和潜类别分析模型更能拟合数据。以一项普通人群调查中烟草依赖的分析为例进行说明。
