Fairchild Amanda J, MacKinnon David P
Department of Psychology, University of South Carolina, Barnwell College, 1512 Pendleton St., Columbia, SC 29208, USA.
Prev Sci. 2009 Jun;10(2):87-99. doi: 10.1007/s11121-008-0109-6.
This paper describes methods for testing mediation and moderation effects in a dataset, both together and separately. Investigations of this kind are especially valuable in prevention research to obtain information on the process by which a program achieves its effects and whether the program is effective for subgroups of individuals. A general model that simultaneously estimates mediation and moderation effects is presented, and the utility of combining the effects into a single model is described. Possible effects of interest in the model are explained, as are statistical methods to assess these effects. The methods are further illustrated in a hypothetical prevention program example.
本文介绍了在数据集中一起或分别测试中介效应和调节效应的方法。这类研究在预防研究中尤其有价值，可获取有关项目实现其效果的过程以及该项目对个体亚组是否有效的信息。本文提出了一个同时估计中介效应和调节效应的通用模型，并描述了将这些效应合并到单个模型中的效用。解释了模型中可能感兴趣的效应以及评估这些效应的统计方法。通过一个假设的预防项目示例进一步说明了这些方法。
