Table 5. LMM statistics of learning effects on P3a.
| P3a Amplitude | |||||
|---|---|---|---|---|---|
| Predictors | Estimates | SE | CI | t | p |
| Intercept | 4.10 | 0.42 | 3.28–4.93 | 9.79 | 1.293e-22 |
| Confidence | 0.97 | 0.14 | 0.70–1.24 | 6.96 | 3.338e-12 |
| Block | −0.91 | 0.07 | −1.05 – −0.77 | −12.93 | 3.201e-38 |
| Sensory prediction error | 2.06 | 0..48 | 1.11–3.00 | 4..27 | 1.969e-05 |
| Reward prediction error | −0.75 | 0.38 | −1.49 – −0..01 | −1.98 | 4.794e-02 |
| Error magnitude | −1..95 | 0..44 | −2.81 – −1..09 | −4.43 | 9.512e-06 |
| Random effects | Model Parameters | ||||
| Residuals | 22.98 | N | 40 | ||
| Intercept | 6.83 | Observations | 9678 | ||
| SPE | 3.02 | log-Likelihood | −28997.990 | ||
| Deviance | 57995.981 | ||||
Formula: P3a ~ Confidence + Block +SPE + RPE+EM + (SPE|participant).