Item response mixture modeling: Application to tobacco dependence criteria
Item response mixture modeling: Application to tobacco dependence criteria
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DOI：
10.1016/j.addbeh.2006.03.026
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发表时间：
2006-06-01
影响因子：
4.4
通讯作者：
Asparouhov, Tihomir
中科院分区：
文献类型：
--
作者：
Muthen, Bengt;Asparouhov, Tihomir
本文阐述了新的混合潜变量模型，是有前途的表型分析。混合模型结合了因子分析和潜在类分析的传统技术中的维度和类别分析的联合收割机特征。本文重点分析的分类项目，提出了特别具有挑战性的分析与混合模型，最近已实际的Mplus程序。混合模型通常被认为比传统的因子分析（IRT）和潜在类别分析模型更适合数据。在一般人口调查中，以分析烟草依赖的形式提供了一个例子。(c)2006爱思唯尔有限公司保留所有权利。
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. (c) 2006 Elsevier Ltd. All rights reserved.