调解
统计
计量经济学
统计假设检验
心理学
先验与后验
结果(博弈论)
变量(数学)
I类和II类错误
统计显著性
数学
认识论
社会学
哲学
数理经济学
数学分析
社会科学
作者
Patrick E. Shrout,Niall Bolger
出处
期刊:Psychological Methods
[American Psychological Association]
日期:2002-01-01
卷期号:7 (4): 422-445
被引量:9256
标识
DOI:10.1037/1082-989x.7.4.422
摘要
Mediation is said to occur when a causal effect of some variable X on an outcome Y is explained by some intervening variable M. The authors recommend that with small to moderate samples, bootstrap methods (B. Efron & R. Tibshirani, 1993) be used to assess mediation. Bootstrap tests are powerful because they detect that the sampling distribution of the mediated effect is skewed away from 0. They argue that R. M. Baron and D. A. Kenny's (1986) recommendation of first testing the X --> Y association for statistical significance should not be a requirement when there is a priori belief that the effect size is small or suppression is a possibility. Empirical examples and computer setups for bootstrap analyses are provided.
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