Workshop Details
ONLINE, SELF-PACED: 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. It takes approximately 1 hour and 15 minutes to complete this workshop. To enroll, please paste the following link into a web browser:

S This is an researcher focused workshop.

Workshop Date / Time Location Instructor Seats Left  
ONLINE, SELF-PACED: Moderated Mediation Regression Models ONLINE Log in to Canvas at Mike O'Neil 100 Login To Register