Asked by Celeste Tidwell on May 27, 2024
Verified
In a two-way ANOVA, it is easier to interpret main effects when the interaction component is not significant.
Interaction Component
Part of an analysis that measures the effect of combining two or more factors, beyond their individual effects.
Main Effects
The direct influence of an independent variable on a dependent variable in an experimental design, ignoring the interactions with other independent variables.
- Gain insight into the pivotal importance of interactions in ANOVA methodologies.
Verified Answer
YA
yusof asefiJun 03, 2024
Final Answer :
True
Explanation :
When the interaction component is not significant, it means that the effect of one independent variable does not depend on the other. This makes it easier to interpret the main effects because they are not being influenced by the presence of the other independent variable.
Learning Objectives
- Gain insight into the pivotal importance of interactions in ANOVA methodologies.