pic-2016Andrew Hayes

Andrew F. Hayes, Ph.D., is a Professor in the Haskayne School of Business at the University of Calgary. His research focuses on linear models, with an emphasis on resampling methods of inference.


Specific research areas include the effects of heteroscedasticity on inference, multilevel models, and statistical approaches to assessing mediation. His methodological work has appeared in Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Behaviour Research and Therapy, Psychological Science, Australiasian Marketing Journal, Communication Methods and Measures, Human Communication Research, and Communication Monographs, among others.

He is the author of Regression Analysis and Linear Models (2017, The Guilford Press), An Introduction to Mediation, Moderation, and Conditional Process Analysis (2018, The Guilford Press), and Statistical Methods for Communication Science (2005, Routledge)According to Google Scholar, his work has been cited over 100,000 times by scholars throughout the world in nearly every empirical research area.

Google Scholar Citation Page

Dr. Hayes’ books can be found below: 

Regression Analysis and Linear Models (2017, The Guilford Press)

An Introduction to Mediation, Moderation, and Conditional Process Analysis (2018, The Guilford Press)

Statistical Methods for Communication Science (2005, Routledge)