Chapter 7 Fundamentals of Moderation Analysis

On page 220, Hayes stated:

The effect of \(X\) on some variable \(Y\) is moderated by \(W\) if its size, sign, or strength depends on or can be predicted by \(W\). In that case, \(W\) is said to be a moderator of \(X\)’s effect on \(Y\), or that \(W\) and \(X\) interact in their influence on \(Y\).