In statistics and regression analysis, moderation (also known as effect modification) occurs when the relationship between two variables depends on a third variable.

Mar 1, 2021 · A mediating variable (or mediator) explains the process through which two variables are related, while a moderating variable (or moderator) affects the strength and direction of that relationship.

Jan 7, 2025 · A moderating variable changes how strongly an independent variable affects a dependent variable. For example, age might moderate the effect of exercise on weight loss. Younger people …

Feb 19, 2021 · This tutorial provides an explanation of moderating variables, including a formal definition and several examples.

A moderation effect indicates the regression slopes are different for different groups. Therefore, if we plot the regression line for each group, they should interact at certain point.

Moderation Models Difference between Mediation & Moderation The main difference between a simple interaction, like in ANOVA models or in moderation models, is that mediation implies that there is a …

Moderation analysis examines how the relationship between an independent variable (X X) and a dependent variable (Y Y) changes depending on a third variable, the moderator (M M). In regression …

Mar 13, 2025 · While mediation answers “how” or “why” something happens, moderation explains “when” or “for whom” an effect is present, thereby adding another layer of understanding to statistical …

Moderation analysis allows us to test for the influence of a third variable, Z, on the relationship between variables X and Y. Rather than testing a causal link between these other variables, moderation tests …

Unlike mediating variables, which explain the mechanism through which an independent variable affects a dependent variable, moderating variables specify when or under what conditions the effect occurs.