Table 2. Results of repeated-measures ANOVAs with the independent variables Deviance (deviant minus standard), Load (low load minus high load), and their interaction on behavioral performance and mean amplitudes.
| Variable | F | p | Mdiff | 95% CI | |
|---|---|---|---|---|---|
| Lower | Upper | ||||
| d′ | |||||
| Deviance | 8.23 | .008 | -0.14 | -0.24 | -0.04 |
| Load | 107.66 | < .001 | 1.44 | 1.15 | 1.72 |
| Dev x Load | 0.96 | .335 | -0.10 | -0.29 | 0.10 |
| c | |||||
| Deviance | 3.61 | .068 | -0.05 | -0.11 | 0.01 |
| Load | 48.33 | < .001 | -0.53 | -0.69 | -0.38 |
| Dev x Load | 4.54 | .042 | 0.16 | 0.01 | 0.31 |
| RT hits (ms) | |||||
| Deviance | 6.78 | .015 | -5.34 | -9.55 | -1.13 |
| Load | 213.38 | < .001 | -110.22 | -125.70 | -94.74 |
| Dev x Load | 0.07 | .788 | 1.22 | -8.00 | 10.43 |
| Fz (nose) | |||||
| Deviance | 57.39 | < .001 | -1.91 | -2.43 | -1.39 |
| Load | 19.38 | < .001 | 1.25 | 0.67 | 1.83 |
| Dev x Load | < 0.01 | .952 | -0.03 | -0.91 | 0.85 |
| Cz (nose) | |||||
| Deviance | 24.33 | < .001 | -1.40 | -1.98 | -0.82 |
| Load | 36.99 | < .001 | 1.68 | 1.12 | 2.25 |
| Dev x Load | 0.69 | .412 | -0.33 | -1.16 | 0.49 |
| Mastoids (nose) | |||||
| Deviance | 35.81 | < .001 | 1.00 | 0.65 | 1.34 |
| Load | 4.40 | .045 | 0.51 | 0.01 | 1.01 |
| Dev x Load | 0.18 | .676 | 0.14 | -0.55 | 0.84 |
| Fz (mastoids) | |||||
| Deviance | 126.63 | < .001 | -2.91 | -3.44 | -2.38 |
| Load | 10.48 | .003 | 0.74 | 0.27 | 1.21 |
| Dev x Load | 0.51 | .481 | -0.17 | -0.66 | 0.32 |
| Cz (mastoids) | |||||
| Deviance | 71.29 | < .001 | -2.40 | -2.98 | -1.81 |
| Load | 25.84 | < .001 | 1.17 | 0.70 | 1.65 |
| Dev x Load | 4.47 | .044 | -0.48 | -0.94 | -0.01 |
For all ANOVAs, F(1, 27). Deviance refers to the main effect of deviant minus standard, Load refers to the main effect of low load minus high load, and Dev x Load refers to their interaction (i.e., [deviant–standard for low load]–[deviant–standard for high load]). Mdiff is the mean difference score of the comparison. It expresses the comparison in its original units (μV) and thus, is an unstandardized effect size measure of the comparison of interest.