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

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

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