Mediation & Moderation: A Second Course
Taught by Andrew Hayes, Ph.D.
Statistical mediation and moderation analyses are among the most widely used data analysis techniques. Mediation analysis is used to test various intervening mechanisms by which causal effects operate. Moderation analysis is used to examine and explore questions about the contingencies or conditions of an effect, also called “interaction.” In many ways, an understanding of the fundamentals of mediation and moderation analysis is in the job description of almost any empirical scholar.
In his new book, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, Andrew Hayes describes these fundamentals using ordinary least squares regression. He also explains how to use PROCESS, a freely-available and handy tool for SPSS and SAS that brings modern approaches to mediation and moderation analysis within convenient reach. This book has become an instant bestseller, and Professor Hayes’ introductory course offered by Statistical Horizons regularly fills to capacity.
This seminar is a new offering—a “second course” that picks up where the book and the introductory course leave off. After a review of basic principles, it covers material that did not make it into the first edition of the book but will likely appear in a future edition. This material is based on many questions Hayes has received from both veteran scholars and researchers in training, including models with multicategorical predictors, dichotomous outcomes, repeated measures designs, and complex models that integrate moderation and mediation components. In this course he also teaches material appearing in recent journal publications, manuscripts in press, and methods still undergoing development. Participants will get the latest release of PROCESS with many new features–before it is released to the public.
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. Because this is a second course, it is assumed that participants have already have been exposed to the fundamentals as discussed in Introduction to Mediation, Moderation, and Conditional Process Analysis (Hayes, 2013) either through their own reading or prior coursework , including the Mediation and Moderation seminar offered by Statistical Horizons. Some working familiarity with the PROCESS macro for SPSS or SAS is desirable. No knowledge of matrix algebra is required, but participants should have a good grasp of ordinary least squares regression analysis.
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 course meets 9 a.m. to 5 p.m. on Friday May 2 and Saturday, May 3 at The Conference Center, One North Wacker Drive, Chicago, Illinois 60606. The fee of $895.00 includes all seminar materials.
Lodging Reservation Instructions
A block of guest rooms has been reserved at La Quinta, One S. Franklin Street, Chicago, IL 60606 at a special rate of $169 per night. To make reservations, call 866-527-1498 during business hours and refer to the Statistical Horizons group. For guaranteed rate and availability, you must reserve your room by April 1.
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) already 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.
- Review of fundamental principles of mediation and moderation analysis
- Mediation analysis with repeated measurement of mediators and outcomes
- Multicategorical causal variables in mediation analysis
- Mediation analysis with a dichotomous outcome
- Estimating and probing interactions involving a multicategorical predictor or moderator
- A formal test of moderated mediation
- Moderation in a serial mediation model
- Moderated mediation in models with multiple mediators and/or moderators
“As a doctoral student, I will definitely benefit from all the knowledge on mediation and moderation analysis, which is clearly documented in the manual. Andrew Hayes explains each effect with the use of clear visuals and answers to all relevant questions”
Caroline De Bondt, Ghent University
“As a PhD student who has not yet planned my dissertation, I feel that this course has provided me with powerful tools and skills to more effectively design and analyze studies that will ultimately influence the trajectory of my career.”
Jordan Clark, University of Nevada
“It has been a great experience coming under the critical but well delivered lectures on moderation and mediation. I can now confidently analyze, interpret and report data on moderation, mediation, mediated moderation as well as moderated mediation studies.”
Sesan Mabekoje, Olabisi Onabanjo University, Nigeria
“This course combines a lot of very different, well explained examples, which make statistics less abstract and more fun.”
Elke Huyghe, Ghent University
“The course on Mediation and Moderation 2013 was extremely helpful to me. I had a good background in statistics, but often felt insecure when analyzing my data. This clear course, taught by Andrew Hayes, has given me confidence and even enthusiasm, in statistical analysis.”
Stefanie Baert, Ghent University
“It’s an excellent class for me to understand the mediation and moderation analysis with a new way of thinking. It’s a hands-on course so I can take home the techniques that can easily apply in my data analyses.”
Ran Wu, Yale University
“The course really boosted my confidence and I did come away with tangible skills to apply to my data. I would recommend this to other doctoral students because the class was helpful and accessible and can give you a deeper sense of understanding of these concepts. Really great course.”
“The course is beyond helpful! Dr. Hayes’ lecture notes are easy to follow, his presentation of the material is clear, and he is extremely approachable. There is something in this course for individuals at various levels of familiarity with regression.”
DeLeon Gray, North Carolina State University
“Moderation and mediation tests by PROCESS are becoming the new norm in management research. Andy is more than helpful in explaining how to apply this technique and related methods in research. It’s a very intense week. But I promise you won’t regret it.”
Dr. Zhi Tang, Rochester Institute of Technology
“This is truly an eye opening workshop about some of the cutting edge analysis that can be done using SPSS.”
Ramayah, Universiti Sains Malaysia
“This is an outstanding course! I recommend it highly, particularly for researchers using experimental designs that also incorporate mediation or moderation by individual differences.”
Brian Lickel, UMass, Amherst