Recent Advances in Causal Modeling Methods for Organizational and Management Research
综述了因果建模方法在组织与管理研究中的最新应用，涵盖测量与结构成分的进展，包括反射性与形成性测量、多维构念评估、方法方差、测量不变性、潜增长模型、调节结构关系及潜变量均值分析，并提供了研究实例。
The purpose of this article is to review recent advanced applications of causal modeling methods in organizational and management research. Developments over the past 10 years involving research on measurement and structural components of causal models will be discussed. Specific topics to be addressed include reflective vs. formative measurement, multidimensional construct assessment, method variance, measurement invariance, latent growth modeling (LGM), moderated structural relationships, and analysis of latent variable means. For each of the areas mentioned above an overview of developments will be presented, and examples from organizational and management research will be provided.