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. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: J Abnorm Psychol. 2016 May 12;125(6):777–787. doi: 10.1037/abn0000164

Table 3.

External Correlates of model-based and model-free learning

Brief Negative Symptom Scale (BNSS)
Coefficient Estimate (SE) p-value
Intercept 1.63 (0.17) <0.001
Reward 0.61 (0.11) <0.001
Rarity 0.02 (0.06) 0.67
BNSS −0.03 (0.01) 0.03
Reward × Rarity 0.12 (0.07) 0.09
Reward × BNSS −0.007 (0.008) 0.40
Rarity × BNSS 0.0003 (0.004) 0.085
Reward × Rarity × BNSS 0.006 (0.005) 0.24
IQ
Coefficient Estimate (SE) p-value
Intercept 1.51 (0.13) <0.001
Reward 0.50 (0.07) <0.001
Rarity 0.06 (0.04) 0.10
Group 0.12 (0.11) 0.28
IQ 0.02 (0.009) 0.07
Reward × Rarity 0.25 (0.05) <0.001
Reward × IQ 0.004 (0.005) 0.49
Rarity × IQ 0.004 (0.003) 0.13
Reward × Rarity × IQ 0.014 (0.004) <0.001
Snaith-Hamilton Pleasure Scale (Hedonic Capacity)
Coefficient Estimate (SE) p-value
Intercept 1.51 (0.13) <0.001
Reward 0.50 (0.07) <0.001
Rarity 0.06 (0.04) 0.09
Group 0.12 (0.11) 0.28
SNAITH 0.03 (0.01) 0.09
Reward × Rarity 0.26 (0.06) <0.001
Reward × SNAITH 0.02 (0.008) 0.03
Rarity × SNAITH 0.003 (0.004) 0.50
Reward × Rarity × SNAITH 0.01 (0.01) 0.11

Note: Coefficients predicting response repetition from the outcome of the previous trial, the transition type, and negative symptoms (BNSS total score), WTAR estimated full scale IQ, and the Snaith-Hamilton Pleasure Scale. Models including Snaith and IQ were tested across both groups. The model including BNSS was included only the SZ group