A comparison of methods to test mediation and other intervening variable effects.
Abstract
A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect. An intervening variable (mediator) transmits the effect of an independent variable to a dependent variable. The commonly used R. M. Baron and D. A. Kenny (1986) approach has low statistical power. Two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and...
Paper Details
Title
A comparison of methods to test mediation and other intervening variable effects.
Published Date
Jan 1, 2002
Journal
Volume
7
Issue
1
Pages
83 - 104
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