A comparison of methods to test mediation and other intervening variable effects

被引:7163
作者
MacKinnon, DP [1 ]
Lockwood, CM [1 ]
Hoffman, JM [1 ]
West, SG [1 ]
Sheets, V [1 ]
机构
[1] Arizona State Univ, Dept Psychol, Tempe, AZ 85287 USA
关键词
D O I
10.1037/1082-989X.7.1.83
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect. An intervening variable (mediator) transmits the effect of an independent variable to a dependent variable. The commonly used R. M. Baron and D. A. Kenny (1986) approach has low statistical power. Two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power except in I important case in which Type I error rates are too high. The best balance of Type I error and statistical power across all cases is the test of the joint significance of the two effects comprising the intervening variable effect.
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页码:83 / 104
页数:22
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