Moderated mediation, also known as Conditional Process Modeling, is great tool for understanding one type of complex relationship among variables.
In this training, we review of mediation and moderation. You’ll then learn about moderated mediation. It combines these two procedures to understand the conditions in which mediation occurs.
We explore the variety of models that use different combinations of a moderator, independent variable, and mediator. In particular, you’ll learn the conceptual difference between moderated mediation and mediated moderation. And why the latter isn’t a useful analysis.
The models will incorporate:
- continuous independent variables, both observed and latent
- binary and continuous moderators, both observed and latent
- continuous mediators
- continuous dependent variables
We discuss the limitations of most statistical software, especially with binary mediators and binary dependent variables.
Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.
About the Instructor
Jeff Meyer is a statistical consultant with The Analysis Factor, a stats mentor for Statistically Speaking membership, and a workshop instructor. Read more about Jeff here.
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