Analyzing Mixed-Dyadic Data Using Structural Equation Models
Analyzing Mixed-Dyadic Data Using Structural Equation Models
复制标题
DOI：
10.1080/10705511.2013.769395
复制
发表时间：
2013-04-01
影响因子：
6
通讯作者：
Panuzio, Jillian
中科院分区：
文献类型：
--
作者：
Peugh, James L.;DiLillo, David;Panuzio, Jillian
从可区分的(不可交换的)或不可区分的(可交换的)二元组收集的混合二元组数据需要统计分析技术来适当地对二元组内部和两个二元组之间的变化进行建模。本文的目的是为混合自变量并元数据的横截面和纵向模型的结构方程建模分析提供教程，并澄清其他地方没有解决的关于各种并元数据分析规范的问题。类似于新婚项目和瑞典领养双胞胎老龄化研究的人工生成的数据分别用于说明可区分和不可区分的二元体的分析模型。由于Amos和Mplus统计分析软件在应用研究人员中的广泛应用，本文使用AMOS和Mplus统计分析软件对本文所示的二元数据结构方程模型进行了分析。这些分析模型提供了足够的详细信息，使研究人员能够使用他们喜欢的统计分析软件包进行这些分析。
Mixed-dyadic data, collected from distinguishable (nonexchangeable) or indistinguishable (exchangeable) dyads, require statistical analysis techniques that model the variation within dyads and between dyads appropriately. The purpose of this article is to provide a tutorial for performing structural equation modeling analyses of cross-sectional and longitudinal models for mixed independent variable dyadic data, and to clarify questions regarding various dyadic data analysis specifications that have not been addressed elsewhere. Artificially generated data similar to the Newlywed Project and the Swedish Adoption Twin Study on Aging were used to illustrate analysis models for distinguishable and indistinguishable dyads, respectively. Due to their widespread use among applied researchers, the AMOS and Mplus statistical analysis software packages were used to analyze the dyadic data structural equation models illustrated here. These analysis models are presented in sufficient detail to allow researchers to perform these analyses using their preferred statistical analysis software package.