Statistics - Main Effect

Thomas Bayes


The effect of one IV averaged across the levels of the other IV.

A main effect in the context of a factorial ANOVA just refers to the effect of one independent variable ignoring the other one.

Just imagine you only have one of the IVs at play. So a main effect is exactly the result of a one-way ANOVA.

A main effect is the effect of one independent variable ignoring the other one.

Recommended Pages
Card Puncher Data Processing
R - Interaction Analysis

interaction with R . An interaction term between a numeric x and z is just the product of x and z. lm processes the “” operator between variables andautomatically: add the interaction...
Thomas Bayes
Statistics - (Interaction|Synergy) effect

In a multiple regression, is assumed that the effect on the target of increasing one unit of one predictor (is independent|has no influence) on the other predictor. If this is not the case, sharing a...
Thomas Bayes
Statistics - Effects (between predictor variable)

Effect between predictor variable interaction simple main See also:
Thomas Bayes
Statistics - Factorial Anova

A factorial ANOVA is done when the independent variables are categorical. By adding a second independent variable, we are entering in factorial ANOVA. N Independent Variables (IVs). Variables that...

Share this page:
Follow us:
Task Runner