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. 2021 Apr 30;10:e62825. doi: 10.7554/eLife.62825

Table 1. Relations between actual performance outcome (signed error magnitude), predicted outcome, confidence in predictions and their modulations due to learning across blocks of trials.

Signed error magnitude
Predictors Estimates SE CI t p
Intercept 4.63 9.99 −14.94–24.20 0..46 6.427e-01
Predicted Outcome 523.99 29.66 465..86–582.12 17.67 7.438e-70
Block 29.47 8.12 13..56–45.37 3..63 2.832e-04
Confidence −27.07 11.05 −48.73 – −5.42 −2..45 1.428e-02
Predicted Outcome: Block −149.70 21.90 −192.62 – −106.78 −6..84 8.145e-12
Predicted Outcome: Confidence 322.56 27.31 269.03–376.09 11.81 3.477e-32
Block: Confidence −25.52 9..15 −43.46 – −7.58 −2..79 5.297e-03
Predicted Outcome: Block: Confidence 90.68 33.65 24.73–156.64 2..69 7.043e-03
Random effects Model Parameters
Residuals 54478.69 N 40
Intercept 3539.21 Observations 9996
Confidence 2813.79 log-Likelihood −68816.092
Predicted Outcome 22357.33 Deviance 137632.185

Formula: Signed error magnitude ~Predicted Outcome*Block*Confidence+(Confidence +Predicted Outcome+Block|participant); Note: ‘:” indicates interactions between predictors.