Which of the following is not a source of variance in a repeated measures ANOVA table?

In the context of a repeated measures ANOVA table, the sources of variance typically include subjects, trials, and residuals. Each of these components plays a specific role in partitioning the total variance observed in the data.

Subjects account for the variability due to individual differences among the participants. Since each subject contributes multiple data points across different conditions, their unique characteristics can introduce variance.

Trials refer to the different conditions or time points being measured. Variance attributable to trials captures how different conditions affect the dependent variable, allowing the analysis to assess the impact of each trial on the overall results.

Residual variance, on the other hand, represents the unexplained variability not accounted for by the factors being studied (subjects and trials). This portion is crucial for understanding how much random error exists in the measurements.

The dependent variable, however, is not a source of variance itself. Instead, it is the outcome measure that is being assessed for variance in relation to the factors. Variance in the dependent variable is what the ANOVA aims to analyze, but it does not create variance in the same way that subjects, trials, and residuals do.

Therefore, selecting the dependent variable as not being a source of variance in a repeated measures ANOVA table is accurate, as it