Mediation, Moderation, and Conditional Process Analysis
A 5-Day Seminar Taught by Andrew Hayes, Ph.D.
To see a sample of the course materials, click here.
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).
Compared to the two-day introductory version of the seminar, previously offered by Statistical Horizons, the five day seminar 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 16 through Friday, July 20 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 $1795.00 includes all seminar materials.
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
Room blocks have been reserved at the following nearby hotels. Due to several city-wide conferences taking place during this seminar, hotel availability is extremely limited. We recommend making travel arrangements as early as possible. Once the room block deadlines pass, we will be unable to assist with securing lodging.
Embassy Suites, 511 N Columbus Drive, Chicago, IL 60611. Make a reservation online by clicking here or call 800-525-2509 before Friday, June 15 to reserve a room for a rate of $309 per night. Approximately 0.2 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 STA715 before Monday, June 18 to reserve a room for a rate of $207 per night. Approximately 0.4 miles from the Gleacher Center.
Fairfield Inn & Suites, 216 E Ontario Street, Chicago, IL 60611. Make a reservation online by clicking here or call 855-476-6661 and reference Statistical Horizons before Monday, April 16 to reserve a room for a rate of $249 per night. Approximately 0.4 miles from the Gleacher Center.
Courtyard, 165 E Ontario, Chicago IL 60611. Make a reservation online by clicking here before Monday, June 25 to reserve a room for a rate of $299 per night. Approximately 0.4 miles from the Gleacher Center.
Westin, 320 N Dearborn St, Chicago, IL 60654. Make a reservation online by clicking here or call 888-627-8359 and reference Statistical Horizons before Friday, June 15 at 5 p.m. CST to reserve a room for a rate of $269 per night. Approximately 0.6 miles from the Gleacher Center.
Acme Hotel, 15 E Ohio Street, Chicago, IL 60611. Make a reservation by calling 312-894-0800 and reference Statistical Horizons before Friday, June 15 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
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
Cambria Hotel & Suites, 32 W Randolph St., Chicago, IL, 60601
Hotel EMC2, 228 E Ontario St, Chicago, IL 60611
Room blocks are not available at these hotels, so reservations should be made directly or via a travel website.
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. Mediation analysis in the two-condition within-subject design.
7. Moderation/interaction in OLS regression.
8. Probing and visualizing interactions.
9. The effects of variable scaling and model parameterization on interpretation.
10. Moderation analysis with multicategorical independent variables or moderators.
11. Modeling conditional mechanisms—“Conditional Process Analysis.”
12. Quantification of and inference about conditional indirect effects.
13. Combining moderation with serial mediation.
14. New features available in PROCESS v3, such as how to modify a numbered model or customize your own model.
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.
“Dr. Andrew Hayes is not only knowledgeable but also an incredible instructor. He makes statistics, which is usually considered boring and dry, relatable and interesting to participants from diverse backgrounds and interests. He is also willing to answer any specific questions and organize social activities for students to connect, network, share knowledge and experience.”
Lam An, University of Central Florida
“Great content, easy-to-follow instructions, engaging class, very excited to apply in practice!”
Elena Ali, University of Calgary
“This is a terrific course that I will happily recommend–indeed urge–my colleagues and students to take. It covers everything from the basics (review) to all iterations of mediation and modeling. Loved it!”
Nicole Letourneau, University of Calgary
“This course is extremely comprehensive! I walked away with no unanswered questions and with confidence in applying these methods to current and future projects.”
Tina Davenport, Duke University Medical Center
“This course shows a variety of applicability to manage data and analyze the data according to your research question.”
Rhayun Song, Chungnam National University
“Who better to learn PROCESS from than the genius who created it? Hayes is fantastic and knowledgeable about the latest stats tools in the research world because he is creating them. He takes a challenging topic and makes it digestible and easy to understand.”
Karen Wallach, Emory University
“If you haven’t looked at a stats book in a while and are starting to feel intimidated to dive into your data–take this course. You’ll feel like you have the right tools to make some good inferences about your data.”
Morgan Ward, Emory University
“This was an incredible course for someone like me, who has taken quite a few intro stats courses, but never anything in-depth. Dr. Hayes did a great job explaining complicated concepts, and did not overwhelm with too much information. What made this course even better was Dr. Hayes’ willingness to answer every question, which made this course a good one for people with basic to more in-depth knowledge. I highly recommend this course for anyone interested in the topics of this course.”
Lamiya Khan, Pennsylvania State University
“I saw that PROCESS was being used more consistently in journals and wanted to learn more about it. Andy’s book is helpful, but the class helps explains examples in more detail. Definitely worth the time and money.”
Brooke Reavey, Dominican University
“If you want to know more about how to cope with mediation, moderation, and conditional process analysis this course is necessary, since this course lets you know how and why you should use conditional process analysis in your research topics.”
Jianfeng Yang, Jiangxi University of Finance and Economics
“I recommend this course to anyone interested in the topics and/or the tools. Andrew Hayes is an outstanding teacher. This course offers the opportunity to learn from one of the best in a very approachable way. I got more out of one week than I did from an entire semester of some stats courses!”
Marissa Orlowski, University of Central Florida
“The course material and structure are very helpful. Dr. Hayes gives very important information that helps us to shorten the road, and gives us the most useful approach to our study.”
Wejdan AL Kayid, Middlesex University