Tests of the Three-Path Mediated Effect
Arizona State University · Institute for Social Research
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Abstract
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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Authors
3Topics & keywords
Keywords
- Type I and type II errors
- Statistics
- Monte Carlo method
- Path analysis (statistics)
- Statistical hypothesis testing
- Econometrics
- Mathematics
- Path (computing)
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