Mediation, Moderation, and Conditional Process Analysis

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Date/Time
Date(s) - 11/08/2019 - 11/09/2019
9:00 am - 5:00 pm

Location
Temple University Center City

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Mediation, Moderation, and Conditional Process Analysis, Taught by Dr. Andrew Hayes
November 8-9, Philadelphia, Pennsylvania

This Statistical Horizons 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 $995.00 includes all seminar materials. Click here to attend or learn more.

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