The use of structural equation modeling (SEM) has grown substantially over the past 40 years within organizational research and beyond. There have been many different developments in SEM that make it increasingly useful for a variety of data types, research designs, research questions, and research contexts in the organizational sciences. To give researchers a better understanding of how and why SEM is used, our article ( a) presents a review of SEM applications within organizational research; ( b) discusses SEM best practices; and ( c) explores advanced SEM applications, including instrumental variable methods, latent variable interactions and nonlinear measurement models, multilevel SEM, cross-lagged panel models and dynamic structural equation models, and meta-analytic SEM. We conclude by discussing concerns and debates that are both methodological (i.e., cross-validation and regularization) and theoretical (i.e., understanding causal evidence) as they relate to SEM and its application in organizational research and beyond.

中文翻译：

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组织研究中的结构方程模型：我们科学的现状及其未来的一些建议

过去 40 年来，结构方程模型 (SEM) 在组织研究及其他领域的应用大幅增长。 SEM 取得了许多不同的发展，使其对于组织科学中的各种数据类型、研究设计、研究问题和研究背景越来越有用。为了让研究人员更好地了解 SEM 的使用方式和原因，我们的文章 (a) 回顾了 SEM 在组织研究中的应用； (b) 讨论 SEM 最佳实践； (c) 探索先进的 SEM 应用，包括工具变量方法、潜变量相互作用和非线性测量模型、多级 SEM、交叉滞后面板模型和动态结构方程模型以及荟萃分析 SEM。最后，我们讨论了方法论（即交叉验证和正则化）和理论（即理解因果证据）方面的担忧和争论，因为它们与 SEM 及其在组织研究及其他领域的应用有关。