Bauldry Shawn, Bollen Kenneth A
University of Alabama-Birmingham.
University of North Carolina-Chapel Hill.
Struct Equ Modeling. 2016;23(6):921-930. doi: 10.1080/10705511.2016.1202771. Epub 2016 Jul 27.
This article provides a brief overview of Confirmatory Tetrad Analysis (CTA) and presents a new set of Stata commands for conducting CTA with supporting examples. The Stata command, tetrad, allows researchers to use modelimplied vanishing tetrads to test the overall fit of structural equation models (SEMs) with continuous endogenous variables and the relative fit of two SEMs with continuous endogenous variables that are tetrad-nested. An extension of the command, tetrad_matrix, allows researchers to conduct CTA using a sample covariance matrix as input rather than relying on raw data. In addition, researchers can use the tetrad_matrix command to input a polychoric correlation matrix and conduct CTA for SEMs involving dichotomous, ordinal, or censored outcomes. An additional extension of the command, tetrad_bootstrap, provides a bootstrapped p-value for the chi-square test statistic. By drawing on Stata's recently developed suite of commands for structural equation modeling, researchers can integrate CTA with data preparation, likelihood ratio tests for model fit, and the estimation of model parameters in a single statistical software package.
本文简要概述了验证性四分体分析(CTA),并给出了一组用于进行CTA的新Stata命令及支持示例。Stata命令“tetrad”允许研究人员使用模型隐含的消失四分体来检验具有连续内生变量的结构方程模型(SEM)的整体拟合度,以及两个具有四分体嵌套关系的、含有连续内生变量的SEM的相对拟合度。该命令的扩展“tetrad_matrix”允许研究人员使用样本协方差矩阵作为输入来进行CTA,而不是依赖原始数据。此外,研究人员可以使用“tetrad_matrix”命令输入多相关矩阵,并对涉及二分、有序或删失结果的SEM进行CTA。该命令的另一个扩展“tetrad_bootstrap”为卡方检验统计量提供了一个自抽样p值。通过利用Stata最近开发的一套用于结构方程建模的命令,研究人员可以在单个统计软件包中将CTA与数据准备、模型拟合的似然比检验以及模型参数估计集成起来。