Mediation, Moderation, and Conditional Process Analysis
A 2-Day Seminar Taught by Andrew Hayes, Ph.D.
To see a sample of the course materials, click here.
This course is currently full. If you would like to be added to the waitlist, please send us an email at email@example.com.
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 one of the leading contributors to the literature on these methods. He has studied and written about methods of estimating mediation and moderation effects and developed software tools for SPSS and SAS that greatly ease the computational burdens on the researcher.
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 analysis by discussing how to test whether a mechanism (an indirect effect) is moderated.
Computer applications will focus on the use of OLS regression and the PROCESS macro for SPSS and SAS.
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 23 or later) or SAS (release 9.2 or later) installed. 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 class will meet from 9 am to 5 pm each day (with a 1-hour lunch break) at the Holiday Inn Fort Myers Airport at Town Center, 9931 Interstate Commerce Drive, Fort Myers, FL 33913. This hotel is 5 miles from the Fort Myers International Airport, and there is a complimentary hotel shuttle to and from the airport. The shuttle can also take you to and from the nearby Gulf Coast Town Center, a large open-air shopping center with numerous stores, restaurants, and a movie theater.
Although you can expect the weather to be comfortably warm (75 is the average high in early February), this is not a resort-type location. However, it’s about a half-hour drive to several attractive vacation areas, including Naples, Sanibel Island, and Fort Myers Beach.
The Fort Myers International Airport (RSW) is served by numerous airlines with direct flights to and from most major cities in the U.S. However, demand for seats in February is quite high, so be sure to make reservations at your earliest opportunity.
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 $995.00 includes all course 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
A block of guest rooms has been reserved at the Holiday Inn Fort Myers Airport at Town Center, 9931 Interstate Commerce Drive, Fort Myers, FL 33913 at a special rate of $169. In order to make reservations, call 239-561-1550 during business hours and identify yourself as part of the Statistical Horizons Meeting, or click here. For guaranteed rate and availability, you must reserve your room no later than Friday, December 28, 2018.
We also recommend going directly to the hotel’s website or checking other online hotel sites. Pricing varies and you may be able to secure a better rate.
- A Path analysis primer: Direct, indirect, and total effects
- Estimation and inference in single mediator models
- Estimation and inference in models with more than one mediator
- Moderation/interaction in OLS regression
- Probing and visualizing interactions
- Conditional Process Analysis (Moderated mediation)
- be able to statistically partition one variable’s effect on another into its primary pathways of influence, direct and indirect.
- understand modern approaches to inference about indirect effects in mediation models.
- know how test competing theories of mechanisms statistically through the comparison of indirect effects in models with multiple mediators.
- acquire an understanding of how to build flexibility into a regression model that allows a variable’s effect to be a function of another variable in a model.
- have the ability to visualize and probe interactions in regression models.
- have learned how to integrate models involving moderation and mediation into a conditional process model.
- have learned how to estimate the contingencies of mechanisms through the computation and inference about conditional indirect effects.
- know how to determine whether a mechanism is dependent on a moderator variable.
- be able to apply the methods discussed in this course using the PROCESS procedure for SPSS and SAS.
- be in a position to talk and write in an informed way about the mechanisms and contingencies of causal effects.
“This was the most clear, thorough, and engaging stats course I have ever taken. I have learned so much that I will apply in my job as a Research Scientist. I feel that I am above the level of most, if not all, of others in my field re: these methodologies after having taken this course.”
Carli Straight, UCLA Office of Equity, Diversity, and Inclusion
“I absolutely loved your seminars! They provide a comprehensive and up-to-date review of the statistical techniques that are applicable to our research. Thanks a ton!”
Yunzhijun Yu, Simon Fraser University, Vancouver
“This condensed format taught by the leading expert in the field is more effective and efficient than courses taught across a quarter or a semester. If you are looking for a practical, hands-on learning experience, this approach to teaching mediation, moderation, and conditional process analysis is best.”
“The course was very useful for understanding mathematical cases for variations in the statistical approach and their meaning. These mathematical cases were explained in very clear, easy to grasp terms for the non-mathematically minded among us. It also raised good examples of how we can control and use method as a tool to answer questions about meaning of results.”
Michael Weinstock, Ben-Gurion University of the Negev
“Dr. Hayes is an excellent professor. He provided thorough and clear explanations of the statistics and demonstrated how to model different research questions, analyze the data using PROCESS (with both SPSS and SAS), and interpret output. I feel ready and eager to go run some analyses when I get back.”
Stephanie Shimada, Rogers VA Medical Center
“The course is extremely useful for those who want to learn PROCESS. Dr. Hayes knows the math behind the statistics very well. He is very patient and has a very systematic and clear teaching approach.”
Nada Nasr, Bentley University
“This course is thorough & gives great real-world examples of data for practical implications.”
Justin X. Moore, University of Alabama at Birmingham
“I took this course to help with my doctorate dissertation. It did and I am glad I participated.”
John Fastenau, Janssen
“This course was extremely clear and will be immediately useful to my work. Just enough mathematical background while still keeping the focus on practical application.”
Abigail Gray, CPRE
“Lots of information, great amount of detail – thanks!”