Universiteit Leiden

nl en

Mediation and moderation

In this three-day course the core issues of mediation and moderation are explored and practiced.

Target group
Lecturer
Researcher
Postdoctoral researcher
PhD candidate
Guest
Teachers
Elise Dusseldorp  (Associate Professor) Peter de Heus  (Coordinator)
Method
Training course

Deadline registration is Wednesday 16 June 2021.

Course description

Within PhD projects, questions often arise about how an effect becomes stronger or
weaker due to some third variable (moderation), or how an effect may be explained by
some intermediate third variable (mediation). 

The first day of the course is targeted at the basic concepts of mediation and
moderation (causal steps approach, estimating and testing indirect effects, effect size,
and post hoc probing of moderator effects). On the second day generalisations to
multiple mediators or moderators are discussed. On the third day combinations of
moderation and mediation (moderated mediation) will be discussed, not only as a direct
extension, but also in the new context of within-subjects designs. During both days,
lectures are intermingled with computer practical sessions using SPSS in combination
with SPSS macros PROCESS and MEMORE, and optionally with R.

After this course, you are able to:

  • explain the concepts of mediation, moderation, and moderated mediation, and
    related issues (e.g., mean centering, causal steps approach);
  • choose the appropriate analysis for different research questions involving
    mediation and/or moderation;
  • perform mediation, moderation, and moderated mediation analysis in SPSS,
    PROCESS and MEMORE, and R (optional).
    interpret the results of such mediation, moderator, and moderated mediation
    analyses.

Literature

  • Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional processanalysis. A regression-based approach. New York: Guilford.
  • A few journal articles (to be announced).

Prerequisites

Basic knowledge about regression analysis, and to a lesser extent, ANOVA and ANCOVA,
and basic skills in working with SPSS.

Please, contact Peter de Heus with any questions.

This website uses cookies.  More information.