Cho Seung Bin, Wood Phillip K, Heath Andrew C
Psychological Sciences, University of Missouri, 200 South 7th Street, Psychology Building, Columbia, MO 65211, USA.
Behav Genet. 2009 Jan;39(1):101-22. doi: 10.1007/s10519-008-9237-9. Epub 2008 Nov 14.
A genetic factor model is introduced for decomposition of group differences of the means of phenotypic behavior as well as individual differences when the research variables under consideration are ordered categorical. The model employs the general Genetic Factor Model proposed by Neale and Cardon (Methodology for genetic studies of twins and families, 1992) and, more specifically, the extension proposed by Dolan et al. (Behav Genet 22: 319-335, 1992) which enables decomposition of group differences of the means associated with genetic and environmental factors. Using a latent response variable (LRV) formulation (Muthén and Asparouhov, Latent variable analysis with categorical outcomes: multiple-group and growth modeling in Mplus. Mplus web notes: No. 4, Version 5, 2002), proportional differences of response categories between groups are modeled within the genetic factor model in terms of the distributional differences of latent response variables assumed to underlie the observed ordered categorical variables. Use of the proposed model is illustrated using a measure of conservatism in the data collected from the Australian Twin Registry.
当所考虑的研究变量为有序分类变量时，引入了一种遗传因素模型，用于分解表型行为均值的组间差异以及个体差异。该模型采用了Neale和Cardon（《双胞胎和家庭的遗传研究方法学》，1992年）提出的一般遗传因素模型，更具体地说，采用了Dolan等人（《行为遗传学》22: 319 - 335，1992年）提出的扩展模型，该扩展模型能够分解与遗传和环境因素相关的均值的组间差异。使用潜在响应变量（LRV）公式（Muthén和Asparouhov，《分类结果的潜在变量分析：Mplus中的多组和增长建模》。Mplus网络笔记：第4号，第5版，2002年），在遗传因素模型中，根据假定为观察到的有序分类变量基础的潜在响应变量的分布差异，对组间响应类别的比例差异进行建模。使用从澳大利亚双胞胎登记处收集的数据中的保守主义度量来说明所提出模型的使用。
