Krull J L, MacKinnon D P
Arizona State University, USA.
Eval Rev. 1999 Aug;23(4):418-44. doi: 10.1177/0193841X9902300404.
This article proposes and evaluates a method to test for mediation in multilevel data sets formed when an intervention administered to intact groups is designed to produce change in individual mediator and outcome variables. Simulated data of this form were used to compare ordinary least squares (OLS) and two multilevel estimators of the mediated effect. OLS and multilevel standard error approximations were also evaluated and recommendations given for optimal estimator choice. These methods were applied to data from an existing substance use intervention to show the impact multilevel mediation modeling can have on the conclusions drawn from real-world evaluation studies.
本文提出并评估了一种方法，用于检验在对完整群体实施干预以促使个体中介变量和结果变量发生变化时所形成的多层次数据集中的中介效应。利用这种形式的模拟数据来比较普通最小二乘法（OLS）和中介效应的两种多层次估计方法。还评估了OLS和多层次标准误差近似值，并就最优估计方法的选择给出了建议。这些方法被应用于一项现有物质使用干预的数据，以展示多层次中介模型对从现实世界评估研究得出的结论可能产生的影响。
