Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
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DOI：
10.3758/brm.40.3.879
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发表时间：
2008-08-01
影响因子：
5.4
通讯作者：
Hayes, Andrew F.
中科院分区：
文献类型：
--
作者：
Preacher, Kristopher J.;Hayes, Andrew F.
涉及中介的假设在行为科学中很常见。当预测因子通过至少一个中介变量间接影响因变量时，中介就存在。方法来评估调解涉及多个同时调解人很少受到关注的方法学文献，尽管有明确的需要。我们提供了一个简单的和多个调解的概述，并探讨了三种方法，可用于调查间接过程，以及在一个单一的模型对比两个或多个调解人的方法。我们提出了一个说明性的例子，评估和对比潜在的调解人之间的关系的社会化代理人的帮助和工作满意度。我们还提供了SAS和SPSS宏，以及Mplus和LISREL语法，以方便在应用程序中使用这些方法。
Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.