Table 1.
Fitted parameter values and fit indices for two model variants
| Variable | Model with baseline evidence | Model without baseline evidence |
|---|---|---|
| Parameters | ||
| μc | 563 | 173 |
| μt | 513 | 515 |
| RTbase | 260 | 265 |
| C | 9 | 6 |
| ηc−a | 0.194 | 0.183 |
| ηt−a | 0.439 | 0.281 |
| ηct−u | 0.010 | 0.081 |
| ηb | 0.047 | 0 |
| Fit indices | ||
| Experiment 1 | ||
| RMSDRT | 53 | 132 |
| rRT | .976 | .913 |
| RMSDER | 2.7 | 0.9 |
| rER | .757 | .980 |
| RMSDp(early) | 2.3 | 11.6 |
| rp(early) | 1.000 | undefineda |
| Experiment 2 | ||
| RMSDRT | 58 | 107 |
| rRT | .972 | .919 |
| RMSDER | 2.7 | 1.1 |
| rER | .770 | .968 |
| RMSDp(early) | 1.0 | 11.2 |
| rp(early) | .999 | undefineda |
Note. RMSD = root-mean-squared deviation between data and model predictions; r = correlation between data and model predictions; RT = response time; ER = error rate; p(early) = percentage of early responses. See text for description of model parameters.
a
For the model without baseline evidence, the variance of predicted p(early) equals zero; therefore, r is undefined.