Conditional Process Analysis

A 2-Day Seminar Taught by Andrew Hayes, Ph.D.

Read reviews of other seminars taught by Andrew Hayes 

In both the social sciences and the health sciences, the study of mechanisms has become increasingly important. In this seminar, Andrew Hayes describes the fundamentals of conditional process analysis, a class of models that allows mechanisms (i.e., indirect effects in a path model) to vary systematically as a function of one or more moderator variables. Starting with a review of the fundamentals of moderation and mediation analysis, the course focuses on models based on ordinary least squares regression, as implemented in the popular PROCESS add-on for SPSS and SAS.

To elaborate, the effect of X on Y is mediated if all or part of that effect operates indirectly through a mediator M. It is moderated if its strength or sign depends on a moderator W. A conditional process model integrates mediation and moderation phenomena into a single, integrated analytical model. Sometimes known as an analysis of moderated mediation, conditional process analysis is used when an investigator is interested in understanding the contingencies of the mechanisms that produce effects. Under what circumstances does a mechanism (an indirect effect) exist and when does it not? When, for whom, or under what circumstances is the mechanism strong versus weak, or positive versus negative?

The course builds in complexity as it progresses, advancing from models with a single moderator of a single path to more complex models with multiple moderators or multiple indirect effects. Parallels are drawn between the regression-based perspective described in Hayes’ book, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Perspective and multiple group structural equation modeling. In particular, you’ll learn how to emulate an observed variable multiple group structural equation model using the latest release of PROCESS. Strategies are offered for how to approach complex analyses and how to modify a model based on evidence acquired during analysis.


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. This course will be taught using PROCESS version 3 for SPSS and SAS. Students will get an advance copy before it is released to the public.


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 regression-based methods to understanding the contingencies of the processes by which effects operate. 


It is assumed that participants have already have been exposed to the fundamentals of regression analysis and regression-based approaches to modern mediation and moderation analysis either through their own reading or prior coursework, including our two-day introductory course or the instructor’s book. Some working familiarity with the PROCESS macro for SPSS or SAS is desirable though not required. No knowledge of matrix algebra or structural equation modeling is required.


The seminar meets Friday, October 27 and Saturday, October 28 at Temple University Center City, 1515 Market Street, Philadelphia, PA 19103. The class will meet from 9 to 5 each day with a 1-hour lunch break. 

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 includes all course materials. The early registration fee of $895 is available until September 27.

Refund Policy

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 Club Quarters Hotel, 1628 Chestnut Street, Philadelphia, PA at a special rate of $154. In order to make reservations, call 203-905-2100 during business hours and identify yourself by using group code STAT26 or click here. For guaranteed rate and availability, you must reserve your room no later than Tuesday, September 26.

If you make reservations after the cut-off date ask for the Statistical Horizon’s room rate (do not use the code) and they will try to accommodate your request.


  • Review of fundamentals: indirect, direct, and conditional effects and the use of PROCESS
  • PROCESS versus structural equation modeling
  • Linear moderation of an indirect effect
  • The index of moderated mediation and comparing indirect effects
  • Nonlinear moderation of mediation
  • Emulating observed variable multiple group structural equation modeling with PROCESS
  • Partial, conditional, and moderated mediation
  • Designing and customizing conditional process models in PROCESS
  • Tips and suggestions about modeling strategies.

RECENT COMMENTS FROM Hayes’ SEMINAR ON Mediation, MOderation, and Conditional Process Analysis

“Dr. Andrew Hayes is not only knowledgeable but also an incredible instructor. He makes statistics, which is usually considered boring and dry, relatable and interesting to participants from diverse backgrounds and interests. He is also willing to answer any specific questions and organize social activities for students to connect, network, share knowledge and experience.”
  Lam An, University of Central Florida

“This was an incredible course for someone like me, who has taken quite a few intro stats courses, but never anything in-depth. Dr. Hayes did a great job explaining complicated concepts, and did not overwhelm with too much information. What made this course even better was Dr. Hayes’ willingness to answer every question, which made this course a good one for people with basic to more in-depth knowledge. I highly recommend this course for anyone interested in the topics of this course.”
  Lamiya Khan, Pennsylvania State University 

“Great content, easy-to-follow instructions, engaging class, very excited to apply in practice!”
  Elena Ali, University of Calgary

“This is a terrific course that I will happily recommend–indeed urge–my colleagues and students to take. It covers everything from the basics (review) to all iterations of mediation and modeling. Loved it!”
  Nicole Letourneau, University of Calgary

“This course is extremely comprehensive! I walked away with no unanswered questions and with confidence in applying these methods to current and future projects.”
  Tina Davenport, Duke University Medical Center

“This course shows a variety of applicability to manage data and analyze the data according to your research question.”
  Rhayun Song, Chungnam National University

“Who better to learn PROCESS from than the genius who created it? Hayes is fantastic and knowledgeable about the latest stats tools in the research world because he is creating them. He takes a challenging topic and makes it digestible and easy to understand.”
  Karen Wallach, Emory University

“If you haven’t looked at a stats book in a while and are starting to feel intimidated to dive into your data–take this course. You’ll feel like you have the right tools to make some good inferences about your data.”
  Morgan Ward, Emory University

“I saw that PROCESS was being used more consistently in journals and wanted to learn more about it. Andy’s book is helpful, but the class helps explains examples in more detail. Definitely worth the time and money.”
  Brooke Reavey, Dominican University

“If you want to know more about how to cope with mediation, moderation, and conditional process analysis this course is necessary, since this course lets you know how and why you should use conditional process analysis in your research topics.”
  Jianfeng Yang, Jiangxi University of Finance and Economics

“I recommend this course to anyone interested in the topics and/or the tools. Andrew Hayes is an outstanding teacher. This course offers the opportunity to learn from one of the best in a very approachable way. I got more out of one week than I did from an entire semester of some stats courses!”
  Marissa Orlowski, University of Central Florida 

“The course material and structure are very helpful. Dr. Hayes gives very important information that helps us to shorten the road, and gives us the most useful approach to our study.”
  Wejdan AL Kayid, Middlesex University