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Research: Moderated Mediation Regression Models
In a mediated regression model the relationship between the dependent and independent variables is at least partially the result of the intervention of a third variable, the mediator. In moderated mediation this mediation effect is in turn influenced by the value of yet another variable, the moderator. This workshop will cover how to run a moderated mediation model in several popular software packages and how to interpret the results. This will include a discussion of, and SAS and Mplus code for, the Johnson-Neyman technique for determining the range of moderator values for which the mediation is and is not statistically significant. A basic understanding of linear regression as well as the concepts of mediation and moderation will be assumed.
Thursday, July 15 at 10:00am
This event requires registration.