Advances in testing the statistical significance of mediation effects
Advances in testing the statistical significance of mediation effects
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DOI：
10.1037/0022-0167.53.3.372
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发表时间：
2006-07-01
影响因子：
3.9
通讯作者：
Russell, Daniel W.
中科院分区：
文献类型：
--
作者：
Mallinckrodt, Brent;Abraham, W. Todd;Russell, Daniel W.
P. A. Frazier、A. P. Tix 和 K. E. Barron (2004) 强调了由 R. M. Baron 和 D. A. Kenny (1986) 推广的正态理论方法，用于测试多元回归环境中间接效应（即中介变量）的统计显着性。然而，模拟研究表明，与其他一些方法相比，该方法缺乏统计能力。作者描述了 P. E. Shrout 和 N. Bolger (2002) 基于引导重采样方法开发的替代方案。提供了执行引导中介分析的示例和分步指南。联合显着性检验也被简要描述为正常理论和引导方法的替代方法。讨论了每种方法在估计间接效应置信区间的精度、I 类误差和 II 类误差方面的相对优缺点。
P. A. Frazier, A. P. Tix, and K. E. Barron (2004) highlighted a normal theory method popularized by R. M. Baron and D. A. Kenny (1986) for testing the statistical significance of indirect effects (i.e., mediator variables) in multiple regression contexts. However, simulation studies suggest that this method lacks statistical power relative to some other approaches. The authors describe an alternative developed by P. E. Shrout and N. Bolger (2002) based on bootstrap resampling methods. An example and step-by-step guide for performing bootstrap mediation analyses are provided. The test of joint significance is also briefly described as an alternative to both the normal theory and bootstrap methods. The relative advantages and disadvantages of each approach in terms of precision in estimating confidence intervals of indirect effects, Type I error, and Type II error are discussed.