Andrew F. Hayes
Andrew F. Hayes is a Professor of Quantitative 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 and moderation.
At Ohio State, Professor Hayes contributes to the doctoral training program in Quantitative Psychology in the Department of Psychology. He is the author of "Introduction to Mediation, Moderation and Conditional Process Analysis" and his statistical methods work has been published in such places as Multivariate Behavioral Research, Behavioral Research Methods, Psychological Methods, Psychological Science, and the Journal of Educational and Behavioral Statistics, among other places. According to ISI, his work has been cited over 8,000 times to date.
Professor Hayes teaches introductory and advanced data analysis at the graduate level, focusing on linear models and their application to social science research problems.
Primary Interests:
- Applied Social Psychology
- Attitudes and Beliefs
- Personality, Individual Differences
- Political Psychology
- Research Methods, Assessment
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Books:
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.
- Hayes, A. F. (2005). Statistical methods for communication science. Mahwah, NJ: Erlbaum.
Journal Articles:
- Berndt, N. C., Hayes, A. F., Verboon, P., Lechner, L., Bolman, C., & De Vries, H. (2013). Self-efficacy mediates the impact of craving on smoking abstinence in low to moderately anxious patients: Results of a moderated mediation approach. Psychology of Addictive Behaviors, 27, 113-124.
- Cai, L., & Hayes, A. F. (2008). A new test of linear hypotheses in OLS regression under heteroscedasticity of unknown form. Journal of Educational and Behavioral Statistics, 33, 21-40.
- Darlington, R. B., & Hayes, A. F. (2000). Combining independent p-values: Extensions of the Stouffer and binomial methods. Psychological Methods, 5, 496-515.
- Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76, 408-420.
- Hayes, A. F. (2006). A primer on multilevel modeling. Human Communication Research, 32, 385-410.
- Hayes, A. F., Glynn, C. J., & Huge, M. E. (2011). Cautions regarding the interpretation of regression coefficients and hypothesis tests in linear models with interactions. Communication Methods and Measures, 6, 1-11.
- Hayes, A. F., Glynn, C. J., & Shanahan, J. (2005). Willingness to self-censor: A construct and measurement tool for public opinion research. International Journal of Public Opinion Research, 17, 298-323.
- Hayes, A. F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41, 924-936.
- Hayes, A. F., & Preacher, K. J. (2010). Quantifying and testing indirect effects in simple mediation models when the constituent paths are nonlinear. Multivariate Behavioral Research, 45, 627-660.
- Hayes, A. F., & Scharkow, M. (in press). The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter? Psychological Science.
- Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891.
- Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, and Computers, 36, 717-731.
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185-227.
- Schnurr, P. P., Hayes, A. F., Lunney, C. A., McFall, M., & Uddo, M. (2006). Longitudinal analysis of the relationship between symptoms and quality of life in veterans treated for posttraumatic stress disorder. Journal of Consulting and Clinical Psychology, 74, 707-713.
- Slater, M. D., & Hayes, A. F. (2010). The influence of youth music television viewership on changes in cigarette use and association with smoking peers: A social identity, reinforcing spirals perspective. Communication Research, 37, 751-773.
- Slater, M. D., Hayes, A. F., & Ford, V. (2007). Examining the moderating and mediating effects of media and individual differences on adolescent perceptions of alcohol-related risks. Communication Research, 34, 355-381.
- Slater, M. D., Hayes, A. F., Goodall, K., & Ewoldsen, D. (2012). Increasing support for alcohol-control enforcement through news coverage of alcohol's role in injuries and crime: An experiment using representative U.S. news stories and people. Journal of Studies on Alcohol and Drugs, 73, 311-315.
Other Publications:
Courses Taught:
- Applied Structural Equation Modeling
- Experimental Design and Analysis
- Introduction to Statistics
- Multiple Regression
- Statistical Moderation and Mediation Analysis
Andrew F. Hayes
Department of Psychology
Ohio State University
Columbus, Ohio 43210-1339
United States of America