Transcription of Andrew F. Hayes, Ph.D. Professor of Psychology, Department ...
1 November 2018. Andrew F. Hayes, Professor of Psychology, Department of Psychology Professor of Communication, School of Communication The Ohio State University Columbus, OH 43210. @AndrewFHayes EDUCATION. , Psychology CORNELL UNIVERSITY. January 1996. (Honors), Psychology SAN JOSE STATE UNIVERSITY. December 1990. Communication Studies minor RELEVANT EMPLOYMENT HISTORY. The Ohio State University Columbus, OH. Department of Psychology Professor (2014-current). School of Communication (by courtesy). Professor (2016-current).
2 The Ohio State University Columbus, OH. School of Communication Professor (2013-2014). Associate Professor (2007-2013). Assistant Professor (2001-2007). Dartmouth College Hanover, NH. Amos Tuck School of Business Administration Statistical Research Computing Associate (1998-2001). University of New England Armidale, NSW Australia School of Psychology Assistant Professor (1996-1998). A. F. Hayes -- 1. RESEARCH AND PUBLICATIONS. (* Denotes a collaborator who was a graduate student at the time of the research or writing).
3 Books Hayes, A. F., Montoya, A. K.*, Preacher, K. J., & Page-Gould, E. (under contract). Statistical mediation analysis: Within-subject designs. New York: The Guilford Press. Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd Ed.) New York: The Guilford Press. Darlington, R. B., & Hayes, A. F. (2017). Regression analysis and linear models: Concepts, applications, and implementation. New York: The Guilford Press. Hayes, A. F., Slater, M.
4 D., & Snyder, L. (2008). The SAGE sourcebook of advanced data analysis methods for communication research. Thousand Oaks, CA: Sage Publications . (Lead Editor). Hayes, A. F. (2005). Statistical methods for communication science. New York: NY: Routledge. Journal Articles and Book Chapters (published, in press, or recently invited). Rockwood, N. J.*, & Hayes, A. F. (invited). Multilevel conditional process analysis. Invited submission to American Behavioral Scientist, due January 2019. Rockwood, N. J.*, & Hayes, A.
5 F. (in press). Multilevel mediation analysis. To appear in A. A. O'Connell, D. B. McCoach, and B. Bell (Eds). Multilevel modeling methods with introductory and advanced applications. Information Age Publishing. Rockwood, N. J.*, & Hayes, A. F. (in press). Mediation, moderation, and conditional process analysis: Regression-based approaches for clinical research. To appear in A. G. C. Wright and M. N. Hallquest (Eds), Handbook of research methods in clinical psychology. Cambridge University Press. Hayes, A.
6 F. (2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85, 4-22. Hayes, A. F., & Rockwood, N. J.* (2017). Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation. Behaviour Research and Therapy, 98, 39-57. Hayes, A. F., Montoya, A. K.* & Rockwood, N. J.* (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling.
7 Australasian Marketing Journal, 25, 76-81. Montoya, A. K.*, & Hayes, A. F. (2017). Two condition within-participant statistical mediation analysis: A path analytic framework. Psychological Methods, 22, 6-27. Hayes, A. F., & Montoya, A. K.* (2017). A tutorial on estimating, visualizing, and probing interactions involving a multicategorical variable in linear regression analysis. Communication Methods and Measures, 11, 1-30. A. F. Hayes -- 2. Deery, S., Walsh, J., Zatzick, C., & Hayes, A. F. (2017). Exploring the relationship between compressed work hours, satisfaction, and absenteeism in front-line service work.
8 European Journal of Work and Organizational Psychology, 26, 42-52. Hanssen, M. M.*, Vancleef, L. M. G., Vlaeyen, J. W. S., Hayes, A. F., Schouten, E. G. W., & Peters, M. L. (2015). Optimism, motivational coping and well-being: Evidence supporting the importance of flexible goal adjustment. Journal of Happiness Studies, 16,1525-1537. Slater, M. D., Hayes, A. F., & Chung, A.* (2015). Injury news coverage, relative concern, and support for alcohol-control policies: An impersonal impact explanation. Journal of Health Communication, 20,51-59.
9 Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1-22. Hayes, A. F., & Agler, R. A.* (2014). On the standard error of the difference between independent regression coefficients in moderation analysis. Multiple Linear Regression Viewpoints, 40(2), 16-27. Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67, 451-470. Hayes, A.
10 F., & Matthes, J. (2014). Self-censorship, the spiral of silence, and contemporary political communication. In K. H. Jamieson & K. Kenski (Eds), Oxford Handbook on Political Communication. Oxford, UK: Oxford University Press. Vasey, M. W., Harbaugh, C. N., Fisher, L. J., Heath, J. H., Hayes, A. F., & Bijttebier, P. (2014). Temperament synergies in risk for depressive symptoms: A prospective replication of a three-way interaction. Journal of Research in Personality, 53, 143-157. Berndt, N. C., Hayes, A. F.