Mediation and Moderation
A 5-Day Seminar Taught by Andrew Hayes, Ph.D.
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
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 to estimate conditional indirect effects, determine whether an indirect effect is moderated (moderated mediation) and whether moderated effects are mediated (mediated moderation).
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). When appropriate, some Mplus code will be provided for those interested, but structural equation modeling and Mplus will not be the emphasis of this seminar.
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 13 through Friday, July 17 at The Hub Commerce Square, 2001 Market Street, Philadelphia, PA.
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 $1795.00 includes all seminar materials.
Lodging Reservation Instructions
Guests room blocks have been reserved at the following nearby hotels.
Sonesta, 1800 Market Street, Philadelphia. Call 1-800-SONESTA (766-3782) by June 12 and mention Statistical Horizons for the $159 group rate. Distance to seminar site – .2 miles/4 min. walk.
Embassy Suites, 1776 Benjamin Franklin Parkway, Philadelphia. Call 1-800-EMBASSY (362-2779) by June 12 and mention Statistical Horizons for the $159 group rate. Distance to seminar site – .5 mile/10 min. walk.
Club Quarters Hotel, 1628 Chestnut Street, Philadelphia. Call 203-905-2100 by June 12 and mention UPN712 for the $127 group rate. Distance to seminar site – .6 mi/12 min. walk.
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. Effect size for indirect and direct effects.
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 in complex models with multiple and higher order interactions.
11. Modeling conditional mechanisms—“Conditional Process Analysis.”
12. Quantification of and inference about conditional indirect effects.
13. Testing a moderated mediation hypothesis and comparing conditional indirect effects.
14. Mediated moderation: The concept and its problems.
Relative to the two-day version of this course offered on occasion by Statistical Horizons, this five day course will go into further depth with more examples and touch on a greater number of topics.
“For those researchers that employ mediation and moderation analyses, this course is invaluable. For those who do not routinely use these approaches, this course demonstrates why they should.”
Shayne Jones, University of South Florida
“This is a very hands-on interactive course that I would highly recommend to anyone doing statistical analyses with moderation and/or mediation.”
Dominique Braxton, Washington State University
“This training was amazing! I have learned so much about mediation and moderation in the last few days. I’m excited to apply the skills I have gained to my research. I have never used PROCESS before and after this training I can’t imagine doing any analysis using any other method.”
Azeb Gebre, Temple University
“This class (workshop) is really helpful for scholars touching on complex causal modeling, especially mediation and moderation, to develop their understanding of model developing and interpretation. The instructor touches on cutting-edge topics during the seminar, with step-by-step processes and problem–solving strategies.”
Dongjae Jung, Arizona State University
“The teacher is very good and shows you the ins and outs of the analysis and answers questions thoughtfully. The stuff you are learning is state of the art taught by an expert in the field. The slides are the best. I would recommend this to anyone who wants to go to the next level of using regressions to fully and completely analyze and understand your data.”
Gabriel Cardenas, Miller School of Medicine, University of Miami
“From start to finish, this course was more valuable than any other statistics course I’ve taken. Dr. Hayes is a talented instructor who clearly explains mediation and moderation in a level of detail and sophistication for any learner. Social scientists would be well-advised to take this course and apply Dr. Hayes’ modern approaches to OLS regression.”
Alan Goodboy, West Virginia University
“This course is a must-have for researchers looking to gain a real understanding of some of the most recent literature and techniques in analyzing various models. Students learn the math behind the software, and how this factors into more accurate and detailed interpretation of data.”
Meghan Sanders, Manship School of Mass Communication, LSU
“The teacher was unbelievably helpful in the way he answered student questions, and the slides with notes he created were beyond phenomenal. It will be very helpful to look back on these notes in the future.”
“This course is very useful, even for researchers with limited experience with mediation and moderation. The notes and slides are easy to follow, which makes the content of a full 5-day course comprehensible. Andrew is also great at answering questions, and guiding people on their research-specific challenges.”
Roxana Turturea, Rotterdam School of Management