Andrew F. Hayes
Andrew F. Hayes is Professor of Quantitative Psychology at The Ohio State University in Columbus, Ohio, USA. He does research on methods of examining the mechanisms by which causal processes operate and the contingencies of those process. His work on statistical methods, including moderation, mediation, and conditional process analysis, has been published in such journals as American Behavioral Scientist, Psychological Methods, Psychological Science, Behavior Research Methods, Multivariate Behavioral Research, and the British Journal of Mathematical and Statistical Psychology, as well as various edited books. He wrote the PROCESS macro for SPSS, SAS, and R that has become widely used by researches in many disciplines interested in testing the mechanisms and contingencies of effects. He is author of “An Introduction to Mediation, Moderation, and Conditional Process Analysis” published (in its 2nd edition) in 2018 by the Guilford Press, and his fourth book, “Regression and Linear Models,” (co-authored with Richard B. Darlington) was released in the summer of 2016. He teaches graduate level courses in introductory statistics, regression analysis, and moderation and mediation analysis, and he conducts workshops throughout the world on these topics. According to Google Scholar, his work has been cited over 100,000 times, and he was identified by the Web of Science group as a 2019 Highly Cited Researcher. He can be found in cyberspace at www.afhayes.com.