SPSS and SAS procedures for estimating indirect effects in simple mediation models
SPSS and SAS procedures for estimating indirect effects in simple mediation models
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DOI：
10.3758/bf03206553
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发表时间：
2004-11-01
期刊：
影响因子：
--
通讯作者：
Hayes, AF
中科院分区：
文献类型：
--
作者：
Preacher, KJ;Hayes, AF
研究人员经常进行中介分析，以便通过一个假定的中介变量间接评估一个假定的原因对某些结果的影响。中介分析的效用源于它能够超越单纯的描述，对变量之间的关系有更具功能性的理解。中介的一个必要组成部分是具有统计学和实际意义的间接效应。尽管中介假设在心理学研究中经常被探讨，但对间接效应的正式显著性检验却很少进行。在对中介进行简要概述之后，我们论证了直接检验间接效应显著性的重要性，并提供了SPSS和SAS宏，这些宏有助于用正态理论方法和自助法（bootstrap approach）来估计间接效应以获得置信区间，以及采用巴伦和肯尼（1986）所倡导的传统方法。我们希望这次讨论和这些宏将提高心理学文献中正式中介检验的频率。这些宏的电子副本可以从心理学会的网络档案库中下载，网址是www.psychonomic.org/archive/。
Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. A necessary component of mediation is a statistically and practically significant indirect effect. Although mediation hypotheses are frequently explored in psychological research, formal significance tests of indirect effects are rarely conducted. After a brief overview of mediation, we argue the importance of directly testing the significance of indirect effects and provide SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals, as well as the traditional approach advocated by Baron and Kenny (1986). We hope that this discussion and the macros will enhance the frequency of formal mediation tests in the psychology literature. Electronic copies of these macros may be downloaded from the Psychonomic Society's Web archive at www.psychonomic.org/archive/.