【摘要】 近年来,越来越多组织行为学领域的学者采用追踪研究设计,以尝试理清变量间的因果关系。然而,用于分析追踪数据的传统统计技术在进行因果推论时存在诸多缺陷,尤其是无法探究某一变量的变化如何影响其他变量的变化。潜变化分数模型(Latent Change Score Modeling, LCSM)可以直接估计不同变量的变化之间的关系,弥补了传统统计技术的不足。但LCSM在组织行为学追踪研究中的应用尚处于初步阶段,缺乏对LCSM系统性的梳理和实操指导。为填补这方面的不足,本文对LCSM在组织行为学追踪研究中的应用进行系统性的综述。具体来说,本文对LCSM的基本原理、其在组织行为学追踪研究中的应用主题以及应用过程中的关键问题和注意事项三个方面进行了详细的梳理和总结。最后,本文对LCSM在未来组织行为学追踪研究中的应用进行了展望。更多还原

【Abstract】 In recent years, to clarify the causal relations between variables, more and more scholars in organizational behavior adopt the longitudinal design. However, the traditional longitudinal data analytic techniques have many shortcomings in causal inference, especially the inability to explore how the prior change in one variable affects subsequent change in other variables. Latent Change Score Modeling(LCSM) can directly estimate the relations between changes between different variables. The advantage of LCSM makes up for the shortcomings of traditional analytic techniques. However, the application of LCSM in longitudinal research of organizational behavior is still in its infancy, and there is a lack of systematic reviews and practical guidance on how to apply LCSM. Therefore, this article seeks to fill this gap by providing a systematic review of the application of LCSM in longitudinal research of organizational behavior. We introduced basic principles of LCSM and summarized current research themes of organizational behavior where LCSM has been applied. Moreover, we summarized the key issues and caveats related to applying LCSM. Further, we outlined future research directions where LCSM can be used in the field of organizational behavior.更多还原