The Impact of Varying Scores in ANOVA Design

What happens in an ANOVA design as the scores within each cell vary more?

A. SS within; decrease

B. SS within; increase

C. SS between; increase

D. SS between; decrease

Final answer:

Answer:

In an ANOVA design, as the scores within each cell vary more from each other, the Sum of Squares (SS) within each group will increase.

Explanation:

In an Analysis of Variance (ANOVA) design, as the scores in each cell vary from each other more, the Sum of Squares (SS) within each group will increase. This is because the SS within is a measure of variation within individual groups in the ANOVA model. The more the individual scores vary within a group, the higher the SS within.

On the other hand, SS between represents the variation between different groups. Logically, if the variation between the scores within each group increases, it doesn't necessarily affect the variation between different groups, because they are independent measures.

← The three stages of the science technology continuum in defense acquisition Credential guard configuration options →