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. 2019 Nov 1;10:2432. doi: 10.3389/fpsyg.2019.02432

TABLE 4.

Results of hierarchical regression analyses for each learning parameter predicted by primary psychopathy and trait anxiety scores.

Step 1
 Step 2
PP TA R2 PP TA PP × TA ΔR2
β β
εGP 0.295∗ [0.008, 0.547] −0.011 [−0.289, 0.260] 0.086 0.220 [−0.086, 0.492] 0.001 [−0.287, 0.263] −0.219 [−0.445, 0.064] 0.042
εGN −0.056 [−0.329, 0.240] −0.021 [−0.289, 0.289] 0.004 −0.070 [−0.374, 0.221] −0.019 [−0.325, 0.265] −0.040 [−0.298, 0.228] 0.001
εLP −0.046 [−0.337, 0.232] −0.073 [−0.367, 0.227] 0.009 −0.036 [−0.350, 0.257] −0.075 [−0.360, 0.224] 0.028 [−0.238, 0.291] 0.001
εLN 0.101 [−0.208, 0.364] 0.105 [−0.197, 0.355] 0.026 0.208 [−0.082, 0.502] 0.086 [−0.170, 0.373] 0.315∗ [0.040, 0.558] 0.088∗
ρ −0.178 [−0.438, 0.105] 0.068 [−0.233, 0.350] 0.031 −0.140 [−0.411, 0.158] 0.061 [−0.236, 0.344] 0.111 [−0.149, 0.370] 0.011
bias −0.120 [−0.396, 0.166] −0.041 [−0.329, 0.228] 0.018 −0.177 [−0.470, 0.115] −0.031 [−0.298, 0.256] −0.169 [−0.417, 0.091] 0.025
π −0.168 [−0.465, 0.103] 0.059 [−0.213, 0.349] 0.027 −0.161 [−0.455, 0.133] 0.058 [−0.217, 0.354] 0.018 [−0.248, 0.255] < 0.001

PP, primary psychopathy; TA, trait anxiety; β, standardized coefficient; εGP, learning rate for positive PE in gains; εGN, learning rate for negative PE in gains; εLP, learning rate for positive PE in losses; εLN, learning rate for negative PE in losses; ρ, subjective impact of outcomes; bias, response bias, π, Pavlovian factor. ∗p < 0.05. The 95% highest-density intervals (HDIs) are presented in square brackets.