**Moderation (statistics)**

In statistics and regression analysis, **moderation** occurs when the relationship between two variables depends on a third variable. The third variable is referred to as the **moderator variable** or simply the **moderator**. The effect of a moderating variable is characterized statistically as an interaction; that is, a qualitative (e.g., sex, race, class) or quantitative (e.g., level of reward) variable that affects the direction and/or strength of the relation between dependent and independent variables. Specifically within a correlational analysis framework, a moderator is a third variable that affects the zero-order correlation between two other variables. In analysis of variance (ANOVA) terms, a basic moderator effect can be represented as an interaction between a focal independent variable and a factor that specifies the appropriate conditions for its operation.

Read more about Moderation (statistics): Example, Multicollinearity in Moderated Regression, Post-hoc Probing of Interactions, See Also

### Famous quotes containing the word moderation:

“Whilst shame keeps its watch, virtue is not wholly extinguished in the heart; nor will *moderation* be utterly exiled from the minds of tyrants.”

—Edmund Burke (1729–1797)