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Andrew Hayes is Associate Professor of Psychology and Associate Professor of Communication 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 Statistical Methods for Communication Science (2005, Routledge) and the forthcoming Combining Moderation and Mediation Analysis: An Introduction to Conditional Process Modeling (Guilford Press). He is the editor-in-chief of Communication Methods and Measures. According to the ISI Web of Science, his work has been cited more than 3,000 times.
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 at http://www.afhayes.com/
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