Hayes Process Macro - Model 7 - Moderated Mediation Analysis

Hayes Process Macro - Model 7 - Moderated Mediation

Hayes Process Macro - Lecture Series

The tutorial will guide on Model 7 of the Hayes Process Macro for Moderated Mediation.

Model 7

  • Example Variables: 1 predictor X, 1 Mediators M, 1 Moderator W, and 1 Outcome Y
  • The variables are continuous.
  • Note: Model 7 allows up to 10 mediators operating in parallel.


  • In more complex models, you may have a mediation model that also has a moderator on one of the indirect paths.
  • Not only are you trying to determine if mediation is present, but you are also trying to see if a moderator is changing the strength of the indirect effect.
  • Let’s look at our moderation example, We are going to examine if the moderator is influencing the indirect effect. Our simple mediation test will be if Organizational Commitment leads to Organizational Performance through Organizational Learning.
  • Our moderator will be the construct of Role Ambiguity, which negatively influences the relationship from Organizational Commitment to Organizational Performance. See the graphical representation that follows.

How to Run

  • Step 1: Analyze -> Regression -> Process v4.0 by Andrew F. Hayes

  • Step 2: Put in the Required Variables. In this case,
    • Y Variable (Dependent Variable) is OP
    • X Variable (Independent Variable) is OC
    • Mediator is OL
    • Moderator is RA
    • Model Number is 7

Step 3: Select Option Button, and Choose the options as shown in the figure below and then Press Continue

Output Interpretation - Basic Summary

  • Description of Model along with the different variables where Y is Dependent Variable, X is Independent Variable, M is the Mediating Variable, and W is the Moderator.