Table 5.

Reinforcement model parameters: model estimating separate fits for each feedback timing condition

	IMMED (1 s)		DELAY (4 s)		DELAY (7 s)
	Mean	(SEM)	Mean	(SEM)	Mean	(SEM)
Learning rate (α)a	0.16	(0.05)	0.33	(0.06)	0.21	(0.06)
Softmax inverse temperature (β)	2.56	(0.37)	2.49	(0.37)	2.60	(0.41)
Pseudo-r2	0.24	(0.04)	0.29	(0.05)	0.22	(0.04)
Model fit (log likelihood)b	31.54	(1.77)	29.33	(2.07)	32.41	(1.63)
Chance model fit	41.59		41.59		41.59
Likelihood ratio test	p = 0.005		p < 0.0005		p = 0.003

^aLearning rates did not differ as a function of delay (linear effect: F_(1,19) = 0.315, p = 0.58).

^bFit did not differ as a function of delay (linear effect: F_(1,19) = 0.22, p = 0.65).