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:
“The honest Man has, I know, that modest Desire of Gain which is peculiar to those who understand better Things than Riches; and I dare say he would be contented with much less than what is called Wealth in that Quarter of the Town which he inhabits, and will oblige all his Customers with Demands agreeable to the Moderation of his Desires.”
—Richard Steele (1672–1729)