Table 5. .
Best-fit distribution parameters for all groups in all experiments
| Group | CSM | CSV | TM | TV | LL |
|---|---|---|---|---|---|
| Block 1: No cost | |||||
| Control | 1.9 ⋅ 10−3 | 2.0 ⋅ 10−6 | 3.4 | 13 | −943.747 |
| Psychosis | 1.7 | 13 | 4.2 | 13 | −762.993 |
| Combined | 0.7 | 2.2 | 3.6 | 13 | −1,735.65 |
| Block 2: No cost, but win or loss (±100) | |||||
| Control | 5.0 ⋅ 10−3 | 1.3 ⋅ 10−5 | 3.6 | 21 | −841.202 |
| Psychosis | 3.0 | 44 | 2.9 | 7.5 | −690.567 |
| Combined | 1.5 | 13 | 2.5 | 7.0 | −1,549.28 |
| Block 3: Fixed cost, plus win or loss (±100) | |||||
| Control | 1.6 | 9.9 | 4.1 | 2.2 | −707.604 |
| Psychosis | 5.2 | 100 | 4.4 | 2.2 | −545.704 |
| Combined | 3.1 | 38 | 4.2 | 1.0 | −1,260.45 |
Note. Best-fit parameters were calculated for each participant group separately and for the group formed by combining both participant groups. CSM = mean cost per sample for a particular group; CSV = variance of cost per sample within a particular group; TM is the mean noise parameter for a particular group; TV = variance of the noise parameter within a particular group; LL = log-likelihood of the data given the parameters.