How to Define and Test an Indirect Moderation Model: The Missing Link in Regression-Based Path Models

Authors

  • Geert H. van Kollenburg Orcid
    Interconnected Resource-Aware Intelligent Systems, Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
  • Marcel A. Croon
    Department of Methodology and Statistics, Tilburg School for the Social and Behavioural Sciences, Tilburg University, Tilburg, The Netherlands

Abstract

Two of the most important extensions of the basic regression model are moderated effects (due to interactions) and mediated effects (i.e. indirect effects). Combinations of these effects may also be present. In this work, an important, yet missing combination is presented that can determine whether a moderating effect itself is mediated by another variable. This ‘indirect moderation’ model can be assessed by a four-step decision tree which guides the user through the necessary regression analyses to infer or refute indirect moderation. A simulation experiment shows how the method works under some basic scenarios.