Mediation and Moderation
Channel: Mikko Rönkkö
Date: 2020-10-05

The lecture provided a comprehensive exploration of two fundamental concepts in empirical research: moderation and mediation. Both of these concepts revolve around the intricate relationships among three variables, offering insights into the dynamics of how these variables interact and influence each other.

Mediation delves into the scenario where the influence of one variable (X) on another (Y) is channeled or "mediated" through a third variable (M). This concept is pivotal in understanding the underlying mechanism or process that drives the observed relationships. For instance, the lecture highlighted the idea that studying leads to learning, and this learning process, in turn, affects performance on an exam. It's about tracing the path of causality and understanding the intermediary steps.

On the flip side, moderation is concerned with how a third variable can determine the strength or nature of the relationship between two primary variables. This concept is crucial for researchers aiming to understand the broader context, helping them pinpoint under which conditions certain effects become evident or change in magnitude. The lecture also delved into the practical application of these concepts, using regression analysis as a primary tool. By referencing works like Hekman's paper and Barron and Tang's research, the lecture not only elucidated the theoretical aspects but also showcased their real-world applications and interpretations.

Link to slides: https://osf.io/nfuex