Table 7. LMM statistics of confidence weighted predicted error discounting on P3b.
P3b Amplitude | |||||
---|---|---|---|---|---|
Predictors | Estimates | SE | CI | t | p |
Intercept | 4.26 | 0.30 | 3.68–4.85 | 14.22 | 7.239e-46 |
Confidence | 0.31 | 0.22 | −0.12–0.75 | 1.41 | 1.595e-01 |
Predicted error magnitude | −0.83 | 0.46 | −1.74–0.07 | −1.80 | 7.133e-02 |
Block | −0.32 | 0.11 | −0.52 – −0.11 | −2.98 | 2.860e-03 |
Error magnitude | −1.06 | 0.49 | −2.03 – −0.09 | −2.13 | 3.277e-02 |
Sensory prediction error | 1.49 | 0.40 | 0.71–2.28 | 3.72 | 1.992e-04 |
Confidence: Predicted error magnitude | −0.98 | 0.69 | −2.34–0.38 | −1.41 | 1.582e-01 |
Confidence: Block | −0.50 | 0.20 | −0.90 – −0.11 | −2.50 | 1.249e-02 |
Predicted Error magnitude: Block | −1.12 | 0.56 | −2.22 – −0.02 | −2.00 | 4.540e-02 |
Confidence: Predicted error magnitude: Block |
3.12 | 0.84 | 1.47–4.78 | 3.70 | 2.141e-04 |
Random effects | Model Parameters | ||||
Residuals | 23.98 | N | 40 | ||
Intercept | 3.30 | Observations | 9678 | ||
Error magnitude | 3.43 | log-Likelihood | −29201.951 | ||
Confidence | 0.72 | Deviance | 58403.902 |
Formula: P3b ~ Block*(Confidence*Predicted Error Magnitude +SPE)+Error Magnitude + (Error Magnitude +Confidence|participant); Note: ‘:” indicates interactions.