Mediation, Moderation, and Conditional Process Analysis

A 5-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 among the leading recent contributors to the literature on these methods. He has developed methods and easy-to-use tools for estimating mediation and moderation effects that can be used with SAS and SPSS.

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 by discussing how a mechanism can be contingent and how to determine statistically whether an indirect effect is moderated.

Computer applications will focus on the use of OLS regression and computational modeling tools for SPSS and SAS (including the PROCESS add on developed by Hayes).

Relative to the two-day version of this course offered occasionally by Statistical Horizons, this five-day course will go into further depth with more examples and touch on a greater number of topics.


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 19 or later) or SAS (release 9.2 or later) installed. SPSS users should ensure their installed copy is patched to its latest release. 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.

Location and Materials 

The course meets 9 a.m. to 5 p.m. on Monday, July 15 through Friday, July 19 at The Gleacher Center, The University of Chicago Booth School of Business, 450 North Cityfront Plaza Drive, Chicago, IL 60611.

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. 

To purchase Andrew Hayes’s, “Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach,” click here and use code 2E for a 20% discount and free shipping. 

Registration and lodging

The fee of $1895.00 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

Embassy Suites, 511 N Columbus Drive, Chicago, IL 60611. Make a reservation online by clicking here and selecting ‘Attendee’ from the dropdown menu, or calling 800-525-2509 before Friday, June 14 to reserve a room for a rate of $259 per night. Approximately 0.2 miles from the Gleacher Center.

Courtyard, 165 E Ontario, Chicago IL 60611. Make a reservation online by clicking here before Friday, June 14 to reserve a room for a rate of $239 per night. Approximately 0.4 miles from the Gleacher Center.

Club Quarters, 75 E Upper Wacker Dr, Chicago, IL 60601. Make a reservation online by clicking here or call 203-905-2100 and reference group code STAT71 before Friday, June 14 to reserve a room for a rate of $193 per night for a club room or $208 per night for a standard room. Approximately 0.4 miles from the Gleacher Center.

Acme Hotel, 15 E Ohio Street, Chicago, IL 60611. Make a reservation by calling 312-894-0800 and referencing the Statistical Horizons Seminar before Friday, June 14 at 4 p.m. CST to reserve a room for a rate of $199 per night. Approximately 0.5 miles from the Gleacher Center.

Other nearby hotel options include:

Sheraton Grand Chicago, 301 E North Water St, Chicago, IL 60611
Fairfield Inn & Suites, 216 E Ontario Street, Chicago, IL 60611
DoubleTree, 300 E Ohio St, Chicago, IL 60611
Inn of Chicago, 162 E Ohio St, Chicago, IL 60611
Comfort Suites, 320 N Michigan Ave, Chicago, IL 60601
Westin, 320 N Dearborn St, Chicago, IL 60654
Cambria Hotel & Suites, 32 W Randolph St., Chicago, IL, 60601
Hotel EMC2, 228 E Ontario St, Chicago, IL 60611

Room blocks have not been reserved at these additional hotels, so reservations should be made directly or via a travel website.

Seminar outline

1.  Review of OLS regression principles.
2.  A Path analysis primer: Direct, indirect, and total effects in mediation models.
3.  Estimation and inference in single mediator models.
4.  Estimation and inference in multiple mediator models (parallel and serial).
5.  Mediation analysis with multicategorical independent variables.
6.  Moderation/interaction in OLS regression.
7.  Probing and visualizing interactions.
8.  The effects of variable scaling and model parameterization on interpretation.
9.  Moderation analysis with multicategorical independent variables or moderators.
10.  Modeling conditional mechanisms—“Conditional Process Analysis.”
11.  Quantification of and inference about conditional indirect effects.
12.  Combining moderation with multiple mediation.
13.  Refining and customizing models in PROCESS v3.

Comments from recent participants

“As a graduate student, I found this workshop to be informative, detailed, and incredibly useful for my research. Dr. Hayes is a wonderful teacher who put a lot of effort into teaching us about ‘what’s under the hood’ with Process, significantly increasing my understanding of conditional process models!”
  Aliza Panjwani, Graduate Center, City University of New York

“Such an incredible workshop. I appreciate everything Dr. Hayes has done for us during this intensive week. Dr. Hayes has given us a thorough conceptual background in addition to the mechanics of doing mediation and moderation analyses. Highly recommend it! I would love to take a workshop with Dr. Andrew Hayes again. Thank you so much. You are the best! I can see how much I can do better as a researcher in my analyses.”
  Minjeong Kim, Indiana University

“It felt like Andy was a wizard and could read my mind. Almost as soon as a question would occur to me, he would move to a slide that addressed it. This showed me how purposefully he was presenting the information. We clearly benefitted from his experience teaching this multiple times. I feel as though I learned an entire semester’s worth of information in five days that will directly improve my research.”
  Lindsay Edwards, Regis University

“Andrew Hayes somehow presents 40 hours of material in a clear and effective manner. As a graduate student with just basic experience using the PROCESS macro for moderation, I feel like I can actually understand what I’ve done in previous analyses and am much better prepared to use more complex models. I’m very happy to have taken this course, particularly as I know I will be using these tools in most of my future work.”
  Alina Lesnovskaya, University of Pittsburgh

“For the first time, I actually understood the statistics behind the statistical software I use. Andrew Hayes does a phenomenal job describing complex statistics in a way that is understandable to those without a strong statistics background. He does a great job describing more simple concepts before introducing more complicated models. He does not assume everyone has a strong grasp on statistics.”
  Sarah Aghjayan, University of Pittsburgh

“I was so excited to find a product that may aid with the interpretation of my data and possibly shine a light on an older topic. Dr. Hayes has answered my questions via email, his book has been a great source – but this class gave me greater direction on how to use PROCESS. I want to take the course again as I begin to write up the interpretation of my data to make sure I am correctly doing so. Not a statistician, not yet a seasoned researcher, but this “process” gives me hope I can do so.”
  Cheryl Angel, Loyola University

“I really liked the pace and in-depth teaching of each model.”
  Amita Bhadauria, Bradley University

“Even though I am not a social scientist or a psychologist, this course helped me understand beyond the basics of mediation and moderation. Dr. Hayes is a great teacher. You don’t have to be a genius like him to understand the logic of the regression models being explained!”

“This course was extremely helpful in increasing my knowledge and experience with PROCESS (and the underlying mathematics). Dr. Hayes is an extraordinary professor and his expertise on the subject allows for students to ask tough questions and get satisfying responses. I had used PROCESS in the past but struggled with how to interpret certain parts of the output. Now, in having a stronger foundation of the mathematics and steps underlying the process, I feel more confident in my usage of the program. The course materials are also EXTREMELY thorough, and it was exciting to get a version of the PROCESS macro not released yet to the public! Overall, great course!”
  Lyangela Gutierrez, University of California, Los Angeles

“I liked the explanation of the models based on regression analysis. The way the path analysis algebra was explained was very useful. Also, I liked the explanations of visualization, how to look at conditional effects through plots and understand how it varies across percentiles (low, medium, high). My research is on studying luxury brands consumption and this understanding will help me answer my research questions better.”
  Nabanita Talukdar, Golden Gate University

“I would highly recommend this course to anyone looking to gain an in-depth understanding of the basics of mediation, moderation, and conditional process analysis, as well as digging deeper into the capabilities of PROCESS.”
  Emily Bremer, McMaster University