Mediation, Moderation, and Conditional Process Analysis

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Date(s) - 10/28/2016 - 10/29/2016
All Day


This Statistical Horizons class, Mediation, Moderation, and Conditional Process Analysis, taught by Andrew Hayes, Ph.D., runs from October 28-29 in Los Angeles, California.

This seminar focuses on two topics in causal analysis that are closely related and often confused. Suppose we have three variables, X, M and Y. We say that M is a mediator of the effect of X on Y if X carries its influence on Y at least partly by influencing M, which then influences Y. This is also known as an indirect effect of X on Y through M. On the other hand, we say that M moderates the effect of X on Y if that effect varies in size, sign, or strength as a function of M. This is also known as interaction.

Although these concepts are fairly simple, the statistical issues that arise in estimating and testing mediation and moderation effects turn out to be rather complex and subtle. Andrew Hayes has been one of the leading contributors to the literature on these methods. Working with Kristopher Preacher, he has developed powerful new methods for estimating mediation and moderation effects and special software tools that can be used with SAS or SPSS.

The fee of $995 includes all course materials.

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