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Tests of the Three-Path Mediated Effect
Aaron B. Taylor*,
David P. MacKinnon,
and
Jenn-Yun Tein
Arizona State University
* To whom correspondence should be addressed. E-mail: aaron.taylor{at}asu.edu.
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Abstract |
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In a three-path mediational model, two mediators intervene in a series between an independent and a dependent variable. Methods of testing for mediation in such a model are generalized from the more often used single-mediator model. Six such methods are introduced and compared in a Monte Carlo study in terms of their Type I error, power, and coverage. Based on its results, the joint significance test is preferred when only a hypothesis test is of interest. The percentile bootstrap and bias-corrected bootstrap are preferred when a confidence interval on the mediated effect is desired, with the latter having more power but also slightly inflated Type I error in some conditions.
First published on July 23, 2007, doi:10.1177/1094428107300344
Organizational Research Methods 2008;11:241.
A more recent version of this article appeared on April 1, 2008
This version was published on December
4, 2007

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