Research in Nursing & Health · 2000 · 347 citations · 10 references
Mediators and moderators influence the relationship between an independent variable and an outcome, with mediators revealing mechanisms of association and moderators indicating conditions that weaken or alter it, yet they are frequently overlooked or misapplied in research designs. This article summarizes the conceptual differences between mediators and moderators. The statistical analysis of moderators and mediators in multiple regression is briefly described and two examples are presented. © 2000 John Wiley & Sons, Inc., Res Nurs Health 23:415–420.
Mediators and moderators are variables that affect the association between an independent variable and an outcome variable. Mediators provide additional information about how or why two variables are strongly associated. In contrast, moderators explain the circumstances that cause a weak or ambiguous association between two variables that were expected to have a strong relationship. Mediators and moderators are often overlooked in research designs, or the terms are used incorrectly. This article summarizes the conceptual differences between mediators and moderators. The statistical analysis of moderators and mediators in multiple regression is briefly described and two examples are presented. © 2000 John Wiley & Sons, Inc. Res Nurs Health 23:415–420, 2000.
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