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). Students in this course will receive an early beta release of PROCESS v3, before it is released to the public in late 2017 or early 2018.
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 10 through Friday, July 14 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. The early registration fee of $1595.00 is available until June 12.
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
Sheraton Grand Chicago, 301 E North Water St, Chicago, IL 60611. Make a reservation online by clicking here or call 888-627-7106 before 5 pm on Friday, June 09 and refer to Statistical Horizons for rates of $229. Approximately 0.1 miles from Gleacher.
Embassy Suites, 511 N. Columbus Drive, Chicago, IL 60611. Make a reservation online by clicking here before Friday, June 09 to reserve a room for a rate of $209 per night when checking in on Sunday. If you are arriving Monday, you will need to call the Reservations Manager directly at (312) 836-5970 since the rate is different. Approximately 0.2 miles from Gleacher.
Club Quarters, 75 East Wacker Drive, Chicago, IL 60603. This location is approximately 0.4-mile walk from Gleacher. You can make a reservation online by clicking here for a rate of $195 per night. Alternately, you can Email memberservices@clubquarters.
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. Hayes is a walking encyclopedia of statistical knowledge and he has done an immense amount of work developing tools to make his work accessible to researchers. He is able to communicate his statistical knowledge in a clear manner. His course is essential for researchers (at all levels of training) who plan to implement MMCPA in their own research. I have sincere gratitude for Dr. Hayes for taking time away from his own research in order to translate his knowledge to others.”
Rebecca L. Silton, Loyola University Chicago
“This course was incredibly useful in furthering my understanding of basic regression principles, in addition to Mediation, Moderation and the Conditional Process approach. Dr. Hayes’ ability to make seemingly daunting concepts seem manageable has showed me how PROCESS can help me answer my research questions without feeling like I will misinterpret the data. The use of concrete examples was exceptionally helpful.”
Jamie Cohen, University of Pittsburgh
“If you want a course that teaches you mediation, moderation and complex combinations from a ground floor to the 110th floor – this is it. I believe this course holds something for everyone. You will learn quite a bit even if you come to it with just a regression background. This course is tough but rewarding. And you will leave with new ideas about what to do with your data and even how to think anew about relationships between variables.”
“Very useful course. Highly recommended.”
Lifeng Yang, University of Mississippi
“This is a great way to keep current on mediation and moderation without having to learn MPlus. Everything is done in both SPSS and SAS.”
Dennis Fisher, California State University
“Dr. Hayes is extremely knowledgeable, yet explains the material in a way that is easy to comprehend. He uses real data, real examples, and provides all needed materials for the course. The course is applied giving you hands-on experience to practice analyzing data and then goes through the interpretation. I would highly recommend.”
Jennifer Sánchez, University of Texas
“No matter if you are a beginner or an expert, you’ll learn great things from this course. Andy not only teaches the process but he describes the foundations of mediation/moderation. Really recommended if you want to learn more on med/mod analysis and also want to learn tips and tricks of PROCESS macro.”
Hamed Aghakhani, Dalhousie University