Table 1.
WAIC for all tested models in experiment 1
| Model | T1 | T2 | ||
|---|---|---|---|---|
| WAIC | Difference from the best model | WAIC | Difference from the best model | |
| Full model | 12,102.985 | 3.49 | 28,440.68 | 0.00 |
| Constant σ across object | 12,102.09 | 2.60 | 28,441.14 | 0.46 |
| Constant PM across object | 12,101.155 | 1.67 | 28,468.22 | 27.54 |
| Constant σ and PM across object | 12,099.49 | 0.00 | 28,507.22 | 66.54 |
In the full model, both PM and σo parameters vary across object conditions, in the constant σ and constant PM, one parameter (PM or σo) was constant, while the other parameter varied across object conditions, and only the varying parameter was freely estimated for each object condition. In the Constant σ and PM model, both parameters were constant across object conditions and a single PM and σ were estimated across object conditions. Lower values indicate better fit and the best model is printed in bold