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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.
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Taylor et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69d75756df21310ab048f623 — DOI: https://doi.org/10.1177/1094428107300344
Aaron B. Taylor
David P. MacKinnon
Jenn‐Yun Tein
Organizational Research Methods
Arizona State University
Institute for Social Research
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