Simone Melissa, Lockhart Ginger
Utah State University, Logan, Utah; Department of Psychology, 2810 Old Main Hill, Logan, UT, 84322-2810, USA.
Department of Psychiatry, 2450 Riverside Avenue, F227, Minneapolis, MN, 55454, USA.
Struct Equ Modeling. 2019;26(4):636-645. doi: 10.1080/10705511.2018.1540934. Epub 2018 Nov 5.
Mediation models are commonly used to identify the mechanisms through which one variable influences another. Among longitudinal mediation methods, latent difference score mediation stands out due to its unique ability to capture non-linear change over time. However, there is limited information regarding sample size demands to achieve adequate power with this method, resulting in few applications of latent difference score mediation. To address this limitation, the current study presents empirically supported sample size guidelines for 10 common latent difference score mediation structural models and 9 unique population models. The results of this study offer researchers with a set of representative sample estimates that may be used when designing studies or seeking funding.
中介模型通常用于识别一个变量影响另一个变量的机制。在纵向中介方法中,潜在差异分数中介因其独特的捕捉随时间非线性变化的能力而脱颖而出。然而,关于使用该方法获得足够检验效能所需样本量的信息有限,导致潜在差异分数中介的应用较少。为解决这一局限性,本研究给出了针对10种常见潜在差异分数中介结构模型和9种独特总体模型的、有实证支持的样本量指南。本研究结果为研究人员提供了一组具有代表性的样本估计值,可在设计研究或寻求资金时使用。