MacKinnon David P, Taborga Marcia P, Morgan-Lopez Antonio A
Department of Psychology, Arizona State University, Tempe, AZ 85287-1104, USA.
Drug Alcohol Depend. 2002 Nov;68 Suppl 1(Suppl 1):S69-83. doi: 10.1016/s0376-8716(02)00216-8.
This paper describes research designs and statistical analyses to investigate how tobacco prevention programs achieve their effects on tobacco use. A theoretical approach to program development and evaluation useful for any prevention program guides the analysis. The theoretical approach focuses on action theory for how the program affects mediating variables and on conceptual theory for how mediating variables are related to tobacco use. Information on the mediating mechanisms by which tobacco prevention programs achieve effects is useful for the development of efficient programs and provides a test of the theoretical basis of prevention efforts. Examples of these potential mediating mechanisms are described including mediated effects through attitudes, social norms, beliefs about positive consequences, and accessibility to tobacco. Prior research provides evidence that changes in social norms are a critical mediating mechanism for successful tobacco prevention. Analysis of mediating variables in single group designs with multiple mediators are described as well as multiple group randomized designs which are the most likely to accurately uncover important mediating mechanisms. More complicated dismantling and constructive designs are described and illustrated based on current findings from tobacco research. Mediation analysis for categorical outcomes and more complicated statistical methods are outlined.
本文描述了用于调查烟草预防项目如何对烟草使用产生影响的研究设计和统计分析。一种对任何预防项目都有用的项目开发与评估理论方法指导着分析。该理论方法关注项目如何影响中介变量的行动理论,以及中介变量如何与烟草使用相关的概念理论。关于烟草预防项目实现效果的中介机制的信息,对于高效项目的开发很有用,并为预防工作的理论基础提供了检验。文中描述了这些潜在中介机制的例子,包括通过态度、社会规范、对积极后果的信念以及烟草可及性产生的中介效应。先前的研究提供了证据,表明社会规范的变化是成功开展烟草预防的关键中介机制。文中描述了单组设计中有多个中介变量时对中介变量的分析,以及最有可能准确揭示重要中介机制的多组随机设计。基于烟草研究的当前发现,描述并说明了更复杂的拆解和建构设计。概述了分类结果的中介分析和更复杂的统计方法。