Mediation, Moderation, and Conditional Process Analysis
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 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). 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.
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 11 through Friday, July 15 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.
Lodging Reservation Instructions
Guests room blocks have been reserved at the following nearby hotels.
Sheraton Grand Chicago, 301 E North Water St, Chicago, IL 60611. Call 888-627-7106 before 5 pm on June 10 and refer to Statistical Horizons for rates ranging from $229. Approximately 0.1 miles from Gleacher.
Embassy Suites, 511 N. Columbus Drive, Chicago, IL 60611. Call 800-525-2509 by June 10 and refer to Statistical Horizons for a rate of $199 when checking in on Sunday, July 10 or rate of $229 for later check-ins. Approximately 0.2 miles from Gleacher.
Club Quarters, 75 East Wacker Drive, Chicago, IL 60601. Email email@example.com or call 203-905-2100 before June 9 and refer to the Statistical Horizons Group block SH0710 for the special rate of $192 per night. Approximately 0.4 miles from Gleacher.
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.
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. To see a syllabus of the course, click here.
“The seminar offers an in-depth review of the basics of moderation and mediation plus implementation with PROCESS. Although the macro is extremely easy to use, extra help is of great value to interpret outputs and make sense of the underlying stats, so you can feel more secure that what you’ve done is correct. Many extra tips on related topics are given. Overall, the course is worth it for people with different levels of knowledge and interest.”
Sonsoles Calderon Lopez, University of Castilla-LaMancha
“Not only is Dr. Hayes an expert statistician, but he is also a master teacher and gifted presenter. Through employing real-world examples using actual data, Dr. Hayes makes it possible to understand both the mathematical foundations and technical know-how to successfully implement moderation and mediation analyses. Thanks Statistical Horizons. I feel much more confident to work with my own data and interpret my findings. I can’t wait to put what I learned to use in my own research projects. Overall, a tremendous experience – well worth the investment.”
Eric J. Michel, University of Illinois at Chicago
“I got exactly what I was looking for in this course: a quick review of basic statistical concepts, a thorough and interesting discussion on mediation and moderation using PROCESS, and excellent reference materials to take home with me.”
Alexis Allen, University of Kentucky
“The foundation and theories behind mediation and moderation are dissected in a manner that any attendee can understand, leading to a greater appreciation of mediation and moderation than I anticipated. This course provides invaluable instruction that is applicable to anyone at any level working with behavioral data. I highly encourage graduate level students to attend, along with any professor in the field.”
Ben McManus, University of Alabama at Birmingham
“The course on mediation and moderation was very helpful – seeing firsthand how to test and probe models will be incredibly useful in my work.”
Natalie Sabik, University of Rhode Island
“Andrew Hayes knows his statistics well. Top drawer.”
Greg Ashley, Bellevue University
“Excellent course for individuals with a variety of statistical sophistication. As an incoming graduate student, I felt the course was taught in a manner that spoke to and improved my knowledge of the technique without moving beyond my comprehension.”
Mark Versella, Rutgers Unviersity
“This course has my strongest recommendation. It is applied, practical, and timely. The instructor guides you through all examples. All examples are directly related to the most important ideas and concepts. The instructor also does an excellent job of sharing the most recent programming and computational information.”
Terrence D. Hill, University of Arizona – School of Sociology
“The course refashions theoretical/abstract statistics in such a way that novice data analysts can apply concepts and software tools in SPSS, SAS and PROCESS with the greatest ease. Professor Hayes makes complex and difficult statistical concepts, processes and tools much easier for the less typical user of statistics.
Dwayne Devonish, Lecturer
“I am a social psych grad student and this course was extremely valuable! It directly relates to my field and Dr. Hayes’ background in social psych is of great benefit.”
Pat Boyd, University of South Florida
“Andrew Hayes is impeccably clear and brutally honest in his descriptions of the state of moderation, mediation and conditional process analysis in the field. I had never run a bootstrap analysis prior to this course and now feel like I can run complex models competently using PROCESS. It is a grueling week but well worth the time.”
Taryn Myers, Virginia Wesleyan College
“I benefitted from learning the tips and tricks directly for the writer of the PROCESS program and from an expert in mediation and moderation. Andrew has a playful, thoughtful, and clear way of teaching even complex statistical concepts. Open to any and all questions with clear logical explanations and with theoretical components.”
Sarah Lamer, University of Denver
“Hayes is incredible, clear, didactic, and applied using real data in each presented model (from the simplest to the more difficult). Not only input/outputs on SPSS are provided, but also SAS and MPlus.”
Hugo Cogo Moreira, Federal University of Sao Paulo
“This course is really well structured and details what happens behind the scene of the PROCESS tool. Really enjoyed and would recommend to any person interested in quantitative analysis.”
Nicolas Pontes, Queensland University of Technology
“Mediation and Moderation is a superb, comprehensive introduction to conditional PROCESS analysis. The course is thorough and detailed, and it does not assume significant experience with mediation or moderation, and yet it proceeds in a readily understandable fashion to explain sophisticated models and inferences. The course follows clearly Dr. Hayes’ influential book on this topic, while providing numerous insights, comments, and explanations along the way. For researchers interested in mediation and moderation models, this course should not be missed.”
Donald Marks, Kean University
“The Mediation-Moderation course provided an excellent set of skills for understanding both the theoretical and conceptual issues but also direct application and practice of these skills. Thank you!”
Julia Shadur, University of Maryland
“One of the excellent courses offered by Statistical Horizons. Dr. Hayes is an expert in M&M, has a great teaching style, and made the concepts easy to understand with easy to follow course content. He made sure that all questions are answered satisfactorily. “Must attend” course if you are looking to get introduced to this topic. Learn from the best in the correct way.”
Ashutosh Tamhane, University of Alabama
“Dr. Hayes has changed the landscape of social science with his methodological expertise and his ability to translate it into user friendly tools and his ability to verbally articulate and communicate these advances. Being able to access and utilize these methods through his tools has changed my career.”
Jon Webb, East Tennessee State University
“I didn’t have much experience with mediation and moderation in graduate school, and this course represented a second chance at building a strong foundation. I felt confident about moving forward with new scientific inquiries.”
Regina Sims Wright, University of Delaware
“Dr. Hayes is a very talented instructor. He does a remarkable job making dense statistical concepts accessible through his clear examples and instructional materials, as well as through the PROCESS macro he developed.”
Elise Clerkin, Miami University
“This course was well worth the investment! I felt like I had missed out on the innovation in moderation & mediation analysis that largely came out after I completed graduate school. Andrew explained the concepts clearly with relevant examples using SPSS. He made a week’s worth of statistics accessible and manageable.”
Alex Bolinger, Idaho State University