Table 2. Relations of confidence with the precision of prediction and the precision of performance and changes across blocks.
| Confidence | |||||
|---|---|---|---|---|---|
| Predictors | Estimates | SE | CI | t | p |
| (Intercept) | 0.26 | 0.04 | 0.18–0.33 | 6.35 | 2.187e-10 |
| Block | 0.05 | 0.02 | 0.02–0.08 | 3.05 | 2.257e-03 |
| Sensory Prediction Error (SPE) | −0.44 | 0.04 | −0.52 – −0.36 | −10.84 | 2.289e-27 |
| Error Magnitude (EM) | 0.17 | 0.05 | 0.08–0.27 | 3.73 | 1.910e-04 |
| Block: SPE | −0.08 | 0.04 | −0.15 – −0.00 | −1.99 | 4.642e-02 |
| Block: EM | 0.15 | 0.05 | 0.05–0.25 | 3.07 | 2.167e-03 |
| Random effects | Model Parameters | ||||
| Residuals | 0.12 | N | 40 | ||
| Intercept | 0.06 | Observations | 9996 | ||
| SPE | 0.03 | log-Likelihood | −3640.142 | ||
| Error Magnitude | 0.06 | Deviance | 7280.284 | ||
| Block | 0.01 | ||||
| Error Magnitude: Block | 0.04 | ||||
Formula: Confidence ~ (SPE +Error Magnitude)*Block+(SPE +Error Magnitude *Block|participant); Note: ‘:” indicates interactions between predictors.