ANOVA with 1 Within-Subject Variable (1 of 4)
A one-factor within-subjects analysis of variance tests the
null hypothesis that all the
population means are equal: H
0:
μ
1 = μ
2 = ... = μ
a
Sources of Variation
In a
between-subjects ANOVA, variance due
to differences among subjects goes into the
error term. In within-subjects ANOVA, differences among subjects
can be separated from
error. "Subjects"
is therefore a source of variation in within-subjects designs.
The analysis of variance summary table for the data given in the
section on the advantages of
within-subjects
designs is shown below. Notice the three sources of variation:
Subjects, Condition, and Error.
Source df Ssq Ms F p
Subjects 3 1888.375 629.458
Condition 1 15.125 15.125 121.00 0.002
Error 3 0.375 0.125
Total 7 1903.875 271.982