Instructor: Q. McLamore
Social research is rarely simple, and the theoretical models we employ are rarely as straightforward as “X causes Y.” How do you analyze a model where X indirectly affects Y through some mediator, M? What happens if you have an even more complex model, where X indirectly affects Y through some mediator, M, but only among people who are high in some other variable, W? Hayes’ Process is a macro that can be used in SPSS and other statistics programs that can be used to test models of complex mediations and moderations through the use of bootstrapping.
In this workshop, we will cover what Hayes’s Process is, the difference between mediation and moderation, concepts such as moderated mediation and sequential mediation, and how to model, test, and report indirect effects using Hayes’ Process in SPSS. Prior experience with SPSS is required for this workshop.
By the end of this workshop, participants will know:
- What Hayes’ Process is and the basics of what it does
- How to run simple Hayes’ Process models in SPSS
- How to interpret SPSS output for Hayes’ Process Analyses
- Best practices for Hayes’ Process and how to use it in empirical research