Table 3. Mean Observed T0 and Model NDT for Data Sets C to E (Same Labels as Table 1) on Which Hypothesis 4 Is Tested.
| Data set | Mean value and tested prediction | T 0 | EZ | DDMBlind | LBABlind |
|---|---|---|---|---|---|
| C | Mean Fast | Cautious | 226|227 | 369|365 | 311|290 | 218|115 |
| BF (Fast < Cautious) | 0.31 | 0.13 | 0.15 | 0.09 | |
| D | Mean Fast | Slow | 99|95 | 93|113 | 67|44 | 37|55 |
| BF (Fast < Slow) | 0.073 | 115 | 0.04 | 6.9 | |
| E | Mean Fast | Slow | 188|169 | 217|239 | 177|153 | 93|121 |
| BF (Fast < Slow) | 0.11 | >103 | 0.06 | >106 | |
Note. Bayes factor indicate the evidence for an effect of task demands on T0 and NDT estimates. Green and orange shading highlights tests in favor or against a modulation of NDT by task demands. NDT = non-decision time; DDM = drift diffusion model; LBA = linear ballistic accumulator; BF = Bayes factor. Italic values indicate values (with respects to tests). See the online article for the color version of this table.