Andrew F. Hayes is an Associate Professor of Communication and an Adjunct Associate Professor of Psychology at The Ohio State University. His research focuses on linear models, with an emphasis on resampling methods of inference. Specific areas of investigation include the effects of heteroscedasticity on inference, multilevel models, and statistical approaches to assessing mediation. In addition, he conducts research on opinion expression in public opinion polling and interpersonal settings. This research program produced a new instrument to measure a person's reticence to express opinions in hostile opinion climates with a focus on political contexts and topics.

At Ohio State, Professor Hayes serves as the statistical methodologist in the School of Communication and contributes to the doctoral training program in Quantitative Psychology in the Department of Psychology. He is as Associate Editor for the journal "Communication Methods and Measures", he coedited a special issue of Human Communication Research on multilevel modeling, and his is author of one statistical methods book ("Statistical Methods for Communication Science", Lawrence Erlbaum Associates) and coeditor of a second ("The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research", Sage Publications).

Professor Hayes teaches introductory and advanced data analysis and research methods at the undergraduate and graduate level, focusing on linear models and their application to social science research problems. He was awarded the Worcester Prize from the World Association for Public Opinion Research in 2006 for the best article published in International Journal of Public Opinion Research in 2005.