pic-2016Andrew Hayes

Andrew F. Hayes, Ph.D., is Professor of Quantitative Psychology at the Ohio State University. 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, Journal of Educational and Behavioral Statistics, Journal of Statistical Computation and Simulation, Human Communication Research, and Communication Monographs.

He is the author of Regression Analysis and Linear Models (2017, The Guilford Press), An Introduction to Mediation, Moderation, and Conditional Process Analysis (2017, The Guilford Press), and Statistical Methods for Communication Science (2005, Routledge)According to Google Scholar, as of the end of 2016 his work has been cited over 45,000 times by scholars throughout the world in nearly every empirical research area.

At Ohio State University, he teaches courses on research design and data analysis. His graduate-level courses include Multiple Regression, Moderation and Mediation Analysis, Structural Equation Modeling, and various special topics.

You can visit his personal webpage by clicking here.

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 (2013, The Guilford Press)

Statistical Methods for Communication Science (2005, Routledge)