When computed from a two-factor between-subjects analysis of variance, η2 is defined as the sum of squares associated with a factor divided by the sum of squares for the.
A)total
B)total plus the df for total
C)error
D)error plus the df for error

Question

Quizplus · Accepted Answer

η2 in a two-factor between-subjects ANOVA is defined as the sum of squares associated with a factor divided by the sum of squares for the total. The sum of squares for the total includes all sources of variation, including the factor(s) being analyzed and error variance, so dividing by this total provides an estimate of the proportion of total variation that is accounted for by the factor being analyzed.

When Computed from a Two-Factor Between-Subjects Analysis of Variance, η2