适度
结构方程建模
调解
潜变量
心理学
调解
潜变量模型
考试(生物学)
计量经济学
计算机科学
社会心理学
数学
人工智能
机器学习
社会学
社会科学
古生物学
生物
作者
Shruti Sardeshmukh,Robert J. Vandenberg
标识
DOI:10.1177/1094428115621609
摘要
It is increasingly common to test hypotheses combining moderation and mediation. Structural equation modeling (SEM) has been the favored approach to testing mediation hypotheses. However, the biggest challenge to testing moderation hypotheses in SEM was the complexity underlying the modeling of latent variable interactions. We discuss the latent moderated structural equation procedure (LMS) approach to specifying latent variable interactions, which is implemented in Mplus, and offer a simple and accessible way of testing combined moderation and mediation hypotheses using SEM. To do so, we provide sample code for six commonly encountered moderation and mediation cases and relevant equations that can be easily adapted to researchers’ data. By articulating the similarities in the two different approaches, discussing the combination of moderation and mediation, we also contribute to the research methods literature.
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