Compared to a one-way between-groups ANOVA, the effect size calculation for the one-way ANOVA differs in:
A) Cohen's guidelines for interpreting the effect size values.
B) that variability due to subjects is removed from total variability in the denominator.
C) its ease of computation.
D) the content of the numerator.

Question

Quizplus · Accepted Answer

The effect size calculation for a one-way ANOVA removes variability due to subjects from the total variability in the denominator. This is because in a one-way ANOVA, all subjects are only exposed to one condition, whereas in a repeated-measures ANOVA, each subject is exposed to multiple conditions, creating more variability. Cohen's guidelines for interpreting effect size values remain the same for both types of ANOVA, so option A is incorrect. Option C is also incorrect as the ease of computation is similar for both types of ANOVA. Option D is not specific enough and does not highlight the key difference between the effect size calculations of the two types of ANOVA.

Compared to a One-Way Between-Groups ANOVA, the Effect Size Calculation