Multilevel mediation modeling in group-based intervention studies
Multilevel mediation modeling in group-based intervention studies
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DOI：
10.1177/0193841x9902300404
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发表时间：
1999-08-01
影响因子：
0.9
通讯作者：
MacKinnon, DP
中科院分区：
文献类型：
--
作者：
Krull, JL;MacKinnon, DP
本文提出并评估了一种方法来测试调解时形成的多层次数据集的干预管理的完整组的目的是产生变化，在个别调解员和结果变量。这种形式的模拟数据被用来比较普通最小二乘（OLS）和两个多层次估计的中介作用。OLS和多级标准误近似值也进行了评估，并给出了最佳估计选择的建议。这些方法被应用到现有的物质使用干预的数据，以显示多层次中介建模的影响，可以从现实世界的评估研究得出的结论。
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.