Full course description
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. This workshop takes approximately 1 hour and 15 minutes to complete.
- Time to complete: 1 hour 15 minutes
- Audience: UT Community
- Credit: none
- Offered by: Office of Innovative Technologies, UTK