In a one-factor within-subjects analysis of variance, reflects variation in scores due to the differences among subjects.
A)MSA
B)MSB
C)MSS
D)MSA × S

Question

Quizplus · Accepted Answer

MSS (or Mean Sum of Squares for Subjects) reflects variation in scores due to the differences among subjects. MSA (or Mean Sum of Squares for the factor) reflects variation in scores due to the differences among levels of the factor, and MSB (or Mean Sum of Squares for error) reflects variation in scores that cannot be attributed to either the factor or subjects. MSA × S is not a valid option as it represents an interaction term between the factor and subjects, which is not applicable in a one-factor within-subjects design.

In a One-Factor Within-Subjects Analysis of Variance, Reflects Variation in Scores