Master Class 3 9-10 October 2015 "Mediation and Moderation" by Professor Andrew F. Hayes (Ohio State University)
For October: Third PPS-UL Master Class by Professor Andrew F. Hayes (Ohio State University)
Prof. Andrew F. Hayes will present an open lecture, followed by a one-and-a-half day workshop on the topics "Mediation and Moderation" as part of the Platform for Psychological Science (PPS-UL) Advanced Analysis 2015 master class series on 9-10 October 2015, the workshop will take place in room AD2 - 010 (New Analog Device Building).Professor Hayes is 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 statistical approaches to assessing mediation and moderation. His methodology work is published in Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Psychological Science, British Journal of Mathematical and Statistical Psychology, Journal of Educational and Behavioral Statistics, and the Journal of Statistical Computation and Simulation, amongst others. In May 2013, he released his third book, "Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach" through Guilford Press. In 2016, Guilford Press will be releasing his fourth book, "Regression and Linear Models" (2nd Ed), coauthored with Richard Darlington. Professor Hayes holds his Ph.D. in Psychology from Cornell University (1996) and a B.A. in Psychology from San Jose State University (1991).
In this seminar, you will learn about the underling principles and the practical applications of these methods. The seminar is divided roughly into three parts: 1. Partitioning effects into direct and indirect components, and how to quantify and test hypotheses about indirect effects. 2. Estimating, testing, probing, and visualizing interactions in linear models. 3. Integrating moderation and mediation analysis by discussing how to test whether a mechanism (an indirect effect) is moderated. Computer applications will focus on the use of OLS regression and the PROCESS macro for SPSS and SAS. Because this is a hands-on course, participants are strongly encouraged to bring their own laptops (Mac or Windows) with a recent version of SPSS Statistics (version 19 or later) or SAS (release 9.2 or later) installed. SPSS users should ensure their installed copy is patched to its latest release. SAS users should ensure that the IML product is part of the installation. You should have good familiarity with the basics of ordinary least squares regression (although an overview of OLS will be the first topic of the course), as well as the use of SPSS or SAS. You are also encouraged to bring your own data to apply what you’ve learned.
For more information concerning Prof. Andrew F. Hayes, please click here.