Mediation analysis and categorical variables: The final frontier

被引:370
作者
Iacobucci, Dawn [1 ]
机构
[1] Vanderbilt Univ, Owen Grad Sch Management, Nashville, TN 37203 USA
关键词
Mediation analysis; Categorical variables; Binary variables; EFFECT-SIZE MEASURES; LOGISTIC-REGRESSION; EXPLAINED VARIATION; CONFIDENCE-LIMITS; PRODUCT; VARIANCE; MODEL;
D O I
10.1016/j.jcps.2012.03.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
Many scholars are interested in understanding the process by which an independent variable affects a dependent variable, perhaps in part directly and perhaps in part indirectly, occurring through the activation of a mediator. Researchers are facile at testing for mediation when all the variables are continuous, but a definitive answer had been lacking heretofore as to how to analyze the data when the mediator or dependent variable is categorical. This paper describes the problems that arise as well as the potential solutions. In the end, a solution is recommended that is both optimal in its statistical qualities as well as practical and easily implemented: compute z(mediation). (C) 2012 Society for Consumer Psychology. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:582 / 594
页数:13
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