Check out Regression Analysis and Linear Models, co-authored with Richard Darlington, or the 2nd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis. Both are available now from The Guilford Press.
My workshop schedule on mediation and moderation analysis using PROCESS can be found on the PROCESS page.
Andrew F. Hayes, Ph.D.
Professor of Psychology
The Ohio State University
Department of Psychology
Columbus OH 43210
hayes.338@osu.edu
(Send PROCESS-related questions to afhayes@processmacro.org after first
visiting the FAQ page)
I am Professor of Psychology at The Ohio State University as well as Professor of Communication. My research focuses on linear models, with an emphasis on resampling methods of inference. Specific areas of investigation and writing include statistical approaches to assessing mediation and moderation. I hold a Ph.D. in Psychology from Cornell University (1996) and a B.A. in Psychology from San Jose State University (1991).
My methodology work is published in such locations as Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Psychological Science, the British Journal of Mathematical and Statistical Psychology, Behaviour Research and Therapy, and Communication Monographs. In the Fall of 2017 The Guilford Press released the 2nd edition of "Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach". Guilford also published my third book, "Regression Analysis and Linear Models," coauthored with Richard Darlington. In 2005, Lawrence Erlbaum (now Routledge) released my first book, "Statistical Methods for Communication Science." You can learn about all these through my Amazon author page.
Over the years I have taught various classes on data analysis primarily at the graduate level. Courses include Introductory Statistics, Multiple Regression, Moderation and Mediation Analysis, and Structural Equation Modeling. I regularly conduct workshops on moderation and mediation analysis at institutions throughout the world. I also teach regularly for Statistical Horizons and the Global School in Empirical Research Methods.
My upcoming Talks and Workshops Open to the Public
1-2 February 2019. I am teaching a two day course on moderation, mediation, and conditional process analysis using PROCESS in Ft. Myers, Florida. This course is being offered by Statistical Horizons. Details, including registration information, are available here.
April 2019. I will be introducing a new SPSS and SAS macro for mediation analysis with distiguishable dyadic data during a two-hour workshop at the conference of the Midwestern Psychological Association, Chicago, IL.
10-14 and 17-21 June 2019. I will be teaching two five day courses on mediation, moderation, and conditional process analysis using PROCESS at the Global School in Empirical Research Methods, University of St. Gallen, Switzerland. Details, dates, and enrollment information will be available soon.
15-19 July 2019. I will be teaching a five day course on moderation, mediation, and conditional process analysis using PROCESS in Chicago, IL. This course is offered by Statistical Horizons. Details and enrollment information will be available soon.
Professor of Psychology
The Ohio State University
Department of Psychology
Columbus OH 43210
hayes.338@osu.edu
(Send PROCESS-related questions to afhayes@processmacro.org after first
visiting the FAQ page)
I am Professor of Psychology at The Ohio State University as well as Professor of Communication. My research focuses on linear models, with an emphasis on resampling methods of inference. Specific areas of investigation and writing include statistical approaches to assessing mediation and moderation. I hold a Ph.D. in Psychology from Cornell University (1996) and a B.A. in Psychology from San Jose State University (1991).
My methodology work is published in such locations as Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Psychological Science, the British Journal of Mathematical and Statistical Psychology, Behaviour Research and Therapy, and Communication Monographs. In the Fall of 2017 The Guilford Press released the 2nd edition of "Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach". Guilford also published my third book, "Regression Analysis and Linear Models," coauthored with Richard Darlington. In 2005, Lawrence Erlbaum (now Routledge) released my first book, "Statistical Methods for Communication Science." You can learn about all these through my Amazon author page.
Over the years I have taught various classes on data analysis primarily at the graduate level. Courses include Introductory Statistics, Multiple Regression, Moderation and Mediation Analysis, and Structural Equation Modeling. I regularly conduct workshops on moderation and mediation analysis at institutions throughout the world. I also teach regularly for Statistical Horizons and the Global School in Empirical Research Methods.
My upcoming Talks and Workshops Open to the Public
1-2 February 2019. I am teaching a two day course on moderation, mediation, and conditional process analysis using PROCESS in Ft. Myers, Florida. This course is being offered by Statistical Horizons. Details, including registration information, are available here.
April 2019. I will be introducing a new SPSS and SAS macro for mediation analysis with distiguishable dyadic data during a two-hour workshop at the conference of the Midwestern Psychological Association, Chicago, IL.
10-14 and 17-21 June 2019. I will be teaching two five day courses on mediation, moderation, and conditional process analysis using PROCESS at the Global School in Empirical Research Methods, University of St. Gallen, Switzerland. Details, dates, and enrollment information will be available soon.
15-19 July 2019. I will be teaching a five day course on moderation, mediation, and conditional process analysis using PROCESS in Chicago, IL. This course is offered by Statistical Horizons. Details and enrollment information will be available soon.