The mean of the variances of the data within each participant (averaged across participants) and the mean of the variances of the data within each music triplet (averaged across music triplets), where the data represent binary values (1 or 0) indicating whether the evaluations matched the track-level evaluations
| Statistic | Drums | Bass | Piano | Guitar | Others |
|---|---|---|---|---|---|
| Mean variance in a triplet | 0.21496 | 0.22861 | 0.22288 | 0.22473 | 0.22137 |
| Mean variance in a participant | 0.25918 | 0.24173 | 0.23684 | 0.25223 | 0.24672 |
| p-value | 0.00000 | 0.00906 | 0.09272 | 0.00001 | 0.00170 |
| Effect size | 0.252 | 0.125 | 0.070 | 0.225 | 0.154 |
| Statistic | Drums | Bass | Piano | Guitar | Others |
|---|---|---|---|---|---|
| Mean variance in a triplet | 0.21496 | 0.22861 | 0.22288 | 0.22473 | 0.22137 |
| Mean variance in a participant | 0.25918 | 0.24173 | 0.23684 | 0.25223 | 0.24672 |
| 0.00000 | 0.00906 | 0.09272 | 0.00001 | 0.00170 | |
| Effect size | 0.252 | 0.125 | 0.070 | 0.225 | 0.154 |
The p-values for testing whether the former is smaller than the latter based on the Mann–Whitney U test, as well as the absolute effect sizes (|r|), are also shown. Since the number of evaluations per music triplet and per participant differed in range, we filtered the data to include only music triplets and participants with between 4 and 9 evaluations, where the ranges overlapped. After this filtering, the average number of evaluations per music triplet was 5.74, and the average number of evaluations per participant was 4.68. We calculated the means after the filtering
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