An Index and Test of Linear Moderated Mediation

被引:2931
作者
Hayes, Andrew F. [1 ]
机构
[1] Ohio State Univ, Dept Psychol, Columbus, OH 43210 USA
关键词
CROSS-SECTIONAL ANALYSES; LONGITUDINAL DATA; MODELS; BEHAVIOR; HEALTH; MISUSE; BARON; BIAS;
D O I
10.1080/00273171.2014.962683
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert (2007) and Preacher, Rucker, and Hayes (2007) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
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页码:1 / 22
页数:22
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