Abstract

In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response to their article highlights that the relationship they find between PLS-SEM and CB-SEM structural parameters is not universally valid, and that consequently, tests on individual parameters in CB-SEM and PLS-SEM generally do not fulfill the same purpose.

摘要

在他们的文章中，Yuan 和 Deng 认为，当且仅当基于协方差的结构方程模型 (CB-SEM) 下相同的结构参数为零时，偏最小二乘结构方程模型 (PLS-SEM) 下的结构参数为零。Yuan 和 Deng 然后得出结论，在 CB-SEM 和 PLS-SEM 中，对单个结构参数进行统计检验以评估无效假设可以达到相同的目的。我们对他们文章的回应强调指出，他们发现的 PLS-SEM 和 CB-SEM 结构参数之间的关系并非普遍有效，因此，对 CB-SEM 和 PLS-SEM 中各个参数的测试通常无法实现相同的目的。