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. 2020 Jul 17;11:1627. doi: 10.3389/fpsyg.2020.01627

TABLE 1.

Descriptive statistics.

Mean SD 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1. α+−α 0.15 0.32
2. α+ 0.64 0.17 0.33** −−
3. α 0.64 0.17 0.32** 0.97** −−
4. Performance 2399.12 940.65 −0.46** –0.12 −0.16+ −−
5. Exploitation (Model 1) 43.73 16.39 –0.13 –0.08 –0.08 0.56** −−
6. Exploration (Model 1) 17.7 8.64 0.21* 0.06 0.06 −0.51** −0.74** −−
7. Ratio (Model 1) 5.13 8.08 –0.11 −0.21* −0.21* 0.47** 0.73** −0.68** −−
8. RPE (Model 1) –51.58 406.42 −0.17* 0.08 0.06 0.03 0.36** −0.23** 0.07 −−
9. Exploitation (Model 2) 39.84 13.83 0.10 0.14 0.10 0.33** 0.73** −0.54** 0.72** –0.10 −−
10. Exploration (Model 2) 19.26 7.52 –0.08 –0.06 0.15+ −0.28** −0.62** 0.50** −0.60** −0.56** −0.73** −−
11. Ratio (Model 2) 3.19 3.97 –0.03 –0.09 –0.07 0.37** 0.61** −0.48** 0.89** 0.80** 0.74** −0.73** −−
12. RPE (Model 2) 13.95 117.44 0.14 0.15+ –0.09 −0.16+ –0.07 0.02 −0.24** –0.07 0.04 0.04 –0.01 −−
13. Extraversion 3.61 0.95 0.06 0.02 0.05 –0.03 –0.05 0.04 0.03 –0.05 0.03 0.10 0.04 0.10 −−
14. Neuroticism 3.29 0.97 –0.10 –0.01 –0.06 0.09 –0.04 –0.06 0.05 0.11 –0.08 0.00 0.00 –0.04 −0.40** −−
15. Openness 3.89 0.83 0.01 0.02 0.06 –0.01 –0.05 0.08 0.04 –0.09 –0.04 0.08 0.01 0.09 0.23* −0.21* −−
16. Conscientiousness 4.19 0.69 –0.14 −0.19* −0.22** 0.17* 0.12 −0.16+ 0.13 0.10 –0.04 –0.09 0.11 –0.13 0.08 0.10 0.04 −−
17. Agreeableness 3.4 0.89 –0.01 –0.01 0.03 −0.24** −0.18* 0.23** –0.05 −0.30** –0.10 0.17* –0.04 0.00 0.37** −0.24** 0.14 0.29** −−
18. Spatial WMC 23.81 13.38 –0.15 0.08 0.04 0.17* 0.14 –0.07 0.05 0.12 0.08 0.14 –0.07 0.03 0.04 0.00 –0.10 0.01 0.02 −−
19. Verbal WMC 25.73 12.75 –0.10 0.09 0.06 0.16+ 0.07 –0.10 –0.01 0.07 0.01 0.16+ –0.14 –0.03 0.05 –0.07 –0.02 0.01 –0.08 0.37** −−
20. Logical WMC 28.18 11.65 0.16+ 0.03 0.02 0.06 0.11 –0.07 0.08 0.12 0.05 0.06 –0.06 0.02 –0.02 0.01 0.07 –0.01 –0.02 0.22* 0.24**

+p < 0.10, *p < 0.05, **p < 0.01. RPE refers to the sum of reward prediction errors. Model 1 and Model 2 indicates, respectively, an asymmetric Q learning model and an asymmetric time-varying Q learning model.