Table 3. Using parameter estimates from the choice-model fitted to individual’s trial-by-trial data to predict the proportion of win trials (n = 94) in Experiment 4a.

	B	SE	t-value
intercept	−0.530	0.005
ms	0.043	0.015	2.91
sm	0. 034	0.012	2.97
abs(pe)	−0.080	0.019	−4.11
abs(ss)	0.062	0.014	4.48

Note. Shown are the unstandardized regression coefficients (b), the standard error around the coefficients (se), and the associated t and p values. Note, that the more negative the sm parameter, the greater the suppression of model-based choice on post-loss trials. Thus, a positive coefficient in this analysis indicates that less suppression leads to higher earnings.