Statistical mediation and moderation analyses are among the most widely used, but often confused, data analysis techniques in social science. Mediation analysis is used to test hypotheses about various intervening mechanisms by which causal effects operate. Moderation analysis is used to examine and explore questions about the contingencies or conditions of an effect, also called “interaction.” Increasingly, moderation and mediation are being integrated analytically in the form of what has become known as “conditional process analysis,” used when the goal is to understand the contingencies or conditions under which mechanisms operate. An understanding of the fundamentals of mediation and moderation analysis is in the job description of almost any empirical scholar. In this course, you will learn about the underlying principles and the practical applications of these methods using ordinary least squares (OLS) regression analysis and the PROCESS macro (version 3.0) for SPSS invented by the course instructor.


Workshop objectives

Topics covered

We focus primarily on research designs that are experimental or cross-sectional in nature with continuous outcomes. We do not cover complex models involving dichotomous outcomes, latent variables, repeated measures, nested data (i.e., multilevel models), or the use of structural equation modeling.

Recommended book


This course is a companion to the instructor's book below. A copy of the book is not required to benefit from the course, but it could be helpful to reinforce understanding.



Andrew F. Hayes, Ph.D.

Professor of Psychology The Ohio State University Department of Psychology

Short Biography

Professor Andrew Hayes’s research focuses on linear models, with an emphasis on resampling methods of inference. According to Google Scholar, his work has been cited over 60,000 times by scholars throughout the world in nearly every empirical research area. His methodological work has appeared in Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Behaviour Research and Therapy, Psychological Science, Australiasian Marketing Journal, Communication Methods and Measures, Human Communication Research, and Communication Monographs, among others. He is the author of Regression Analysis and Linear Models (2017, The Guilford Press), An Introduction to Mediation, Moderation, and Conditional Process Analysis (2018, The Guilford Press), and Statistical Methods for Communication Science (2005, Routledge).

Workshop Schedule


Registration and Fees

Course prerequisites

This is a hands-on course. Computer applications will focus on the use of ordinary least squares regression and the PROCESS macro for SPSS developed by the instructor that makes the analyses described in this workshop much easier than they otherwise would be. Participants should have a basic knowledge of the principles and practice of multiple regression and statistical inference. Familiarity with the use of SPSS is assumed.


Visit NCCU

Da-Yong Building 3rd Floor Room 315, Nationial Chengchi University.
NO.64,Sec.2,ZhiNan Rd.,Wenshan District,Taipei City 11605,Taiwan

NCCU Campus Map

Organizers And Sponsors


RCHSS LOGO Research Center for Humanities and Social Sciences (RCHSS), Nationial Chiao Tung University,
TIGCR LOGO Taiwan Institute for Governance and Communications Research (TIGCR), National Chengchi University.


Taiwan Trend Research Taiwan Trend Research Statinc Company Statinc Company

Contact Us