Mediation, Moderation, and Conditional Process Analysis

A 2-Day Seminar Taught by Andrew Hayes, Ph.D.

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To see a sample of the course materials, click here.

This seminar focuses on two topics in causal analysis that are closely related and often confused. Suppose we have three variables, X, M and Y. We say that M is a mediator of the effect of X on Y if X carries its influence on Y at least partly by influencing M, which then influences Y. This is also known as an indirect effect of X on Y through M. On the other hand, we say that M moderates the effect of X on Y if that effect varies in size, sign, or strength as a function of M. This is also known as interaction

Although these concepts are fairly simple, the statistical issues that arise in estimating and testing mediation and moderation effects turn out to be rather complex and subtle. Andrew Hayes has been one of the leading contributors to the literature on these methods. He has studied and written about methods of estimating mediation and moderation effects and developed software tools for SPSS and SAS that greatly ease the computational burdens on the researcher.

In this seminar, you will learn about the underlying principles and the practical applications of these methods. The seminar is divided roughly into three parts:

1. Partitioning effects into direct and indirect components, and how to quantify and test hypotheses about indirect effects.

2. Estimating, testing, probing, and visualizing interactions in linear models.

3. Integrating moderation and mediation analysis by discussing how to test whether a mechanism (an indirect effect) is moderated.

Computer applications will focus on the use of OLS regression and the PROCESS macro for SPSS and SAS.


Because this is a hands-on course, participants are strongly encouraged to bring their own laptops (Mac or Windows) with a recent version of SPSS Statistics (version 23 or later) or SAS (release 9.2 or later) installed. SAS users should ensure that the IML product is part of the installation.

You should have good familiarity with the basics of ordinary least squares regression (although an overview of OLS will be the first topic of the course), as well as the use of SPSS or SAS. You are also encouraged to bring your own data to apply what you’ve learned.

Who should attend? 

This course will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using readily-available software packages such as SPSS and SAS. Participants should have a basic working knowledge of the principles and practice of multiple regression and elementary statistical inference. No knowledge of matrix algebra is required or assumed.


The class will meet from 9 am to 5 pm each day with a 1-hour lunch break at Temple University Center City, 1515 Market Street, Philadelphia, PA 19103.

Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.

Registration and lodging

The fee of $995.00 includes all seminar materials.

Refund Policy

If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50). 

Lodging Reservation Instructions

A block of guest rooms has been reserved at the Club Quarters Hotel, 1628 Chestnut Street, Philadelphia, PA at a special rate of $154 per night. This location is about a 5-minute walk to the seminar location. In order to make reservations, call 203-905-2100 during business hours and identify yourself by using group code SH1107 or click here. For guaranteed rate and availability, you must reserve your room no later than Monday, October 7, 2019.

If you need to make reservations after the cut-off date, you may call Club Quarters directly and ask for the “Statistical Horizons” rate (do not use the code or mention a room block) and they will try to accommodate your request.


  1. A Path analysis primer: Direct, indirect, and total effects
  2. Estimation and inference in single mediator models
  3. Estimation and inference in models with more than one mediator
  4. Moderation/interaction in OLS regression
  5. Probing and visualizing interactions
  6. Conditional Process Analysis (Moderated mediation)
By the end of this course, you will…
  • be able to statistically partition one variable’s effect on another into its primary pathways of influence, direct and indirect.
  • understand modern approaches to inference about indirect effects in mediation models.
  • know how test competing theories of mechanisms statistically through the comparison of indirect effects in models with multiple mediators.
  • acquire an understanding of how to build flexibility into a regression model that allows a variable’s effect to be a function of another variable in a model.
  • have the ability to visualize and probe interactions in regression models.
  • have learned how to integrate models involving moderation and mediation into a conditional process model.
  • have learned how to estimate the contingencies of mechanisms through the computation and inference about conditional indirect effects.
  • know how to determine whether a mechanism is dependent on a moderator variable.
  • be able to apply the methods discussed in this course using the PROCESS procedure for SPSS and SAS.
  • be in a position to talk and write in an informed way about the mechanisms and contingencies of causal effects.


“Andrew Hayes is able to translate his extensive knowledge into a course that is easy for anyone to understand. I feel much more able to apply concepts that I had only understood at a theoretical level.”
  Kristina Scharp, University of Washington

“This course is really important for data analysis. Mediation and moderation are present very frequently and this course is going to help to clarify these processes and clearly demonstrate how to show the results when mediation or moderation are present. Excellent professor!”
  Pura Rodriguez, Florida International University

“I learned so much during the course. I was nervous about my basic understanding of the foundations coming in, but was pleased that my knowledge was more than sufficient. This is primarily because the teaching really did start from square 1; though it moved fast it was easy to keep up. Finally, Dr. Hayes was a tremendous instructor: knowledgeable, passionate, straightforward. I really enjoyed the course and would definitely take another with Dr. Hayes or Statistical Horizons.”
  Zac Johnson, California State University, Fullerton

“This workshop on moderation and mediation using PROCESS macro is an extremely insightful workshop in terms of highlighting the real facts versus the mythical practices in testing moderation and mediation. It shows how we should not be governed by the myths, we should do the modelling based on logical interpretations.”
  Abhigyan Sarkar, Institute of Management Technology, Ghaziabad

“The Mediation, Moderation, and Conditional Process Analysis course was extremely useful. Working with moderation and mediation is something I do on a daily basis in my career and the course still taught me many things and left me eager to keep studying additional material presented in class. Andrew Hayes is a genius, and taking a course with him is a great investment of your time.”
  Grettel Castro, Florida International University

“Great course! This will definitely speed up the time I typically spend on model interpretation. Thanks so much!”
  Bridget Nichols, Northern Kentucky University