# Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation

“Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation” (2017), by Andrew F. Hayes. Mathematics research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Andrew F. Hayes
- Published: August 3, 2017
- Field: Mathematics
- DOI: https://doi.org/10.1080/03637751.2017.1352100
- Source: https://doi.org/10.1080/03637751.2017.1352100

## Abstract

Mediation of X’s effect on Y through a mediator M is moderated if the indirect effect of X depends on a fourth variable. Hayes [(2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22. doi:10.1080/00273171.2014.962683] introduced an approach to testing a moderated mediation hypothesis based on an index of moderated mediation. Here, I extend this approach to models with more than one moderator. I describe how to test if X’s indirect effect on Y is moderated by one variable when a second moderator is held constant (partial moderated mediation), conditioned on (conditional moderated mediation), or dependent on a second moderator (moderated moderated mediation). Examples are provided, as is a discussion of the visualization of indirect effects and an illustration of implementation in the PROCESS macro for SPSS and SAS.

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