Table 4.
Full multilevel model, which tests the effect of attentional lapses covariates (TUTs + Q-SMW + MRT) on the WPR on an unstandardized level.
| RT On | b-Weight (Standard Error) | df | t-Value | Random Effect SD | p |
|---|---|---|---|---|---|
| intercept | 835.82 (15.40) | 85 | 54.29 | 96.56 | <.001 |
| intelligence | −44.18 (15.49) | 85 | −2.85 | .005 | |
| trial number | 146.99 (4.91) | 85 | 29.91 | 47.38 | <.001 |
| control | −835.82 (0.27) | 57630 | −3091.39 | <.001 | |
| trial number × intelligence = WPR | −14.93 (4.94) | 85 | −3.02 | .003 | |
| intelligence × control | 15.10 (0.27) | 57630 | 55.53 | <.001 | |
| trial number × control | −146.99 (0.23) | 57630 | −627.78 | <.001 | |
| trial number × intelligence × control | 6.05 (0.24) | 57630 | 25.70 | <.001 |
Note: N = 85. For each participant, 340 trials were included in the analysis. Data were centered to the trial with the sorted number of 170 and rescaled between −2 and 2. Control is a dummy coded factor, which represents raw RTs or RTs residualized by the corresponding attentional lapses covariates. A significant three-way interaction between trial number, intelligence and control represents a moderating influence of the covariates on the covariance.