Table 1.

A. For each transfer function we show parameter estimates obtained from maximum likelihood fits of the three models (power, linear, identity) to each subject's data. B. The p-values for nested-hypothesis tests of the Power Model versus the Linear Model and the Linear Model versus Identity Model are shown. Asterisks mark those p-values that are less than 0.00001, the Bonferroni corrected level for 12 tests with an overall significance level of 0.05.

	Parameter	Transfer	S01	S02	S03	S04
POWER	a	Γ 1→2	0.697	3.410	0.326	4.381
		Γ 2→3	4.248	0.140	3.895	1.699
		Γ 1→3	0.990	0.909	0.364	0.873
	b	Γ 1→2	1.163	0.474	1.923	0.497
		Γ 2→3	0.555	1.625	0.471	0.854
		Γ 1→3	1.050	0.830	1.379	1.129
	c	Γ 1→2	1.482	1.854	3.001	−0.637
		Γ 2→3	−5.881	1.687	−5.422	−3.971
		Γ 1→3	0.058	3.132	1.485	1.387
LINEAR	a	Γ 1→2	1.043	0.817	1.687	1.161
		Γ 2→3	1.123	0.651	0.604	1.117
		Γ 1→3	1.103	0.584	0.922	1.184
	c	Γ 1→2	0.936	4.901	1.331	3.170
		Γ 2→3	−1.447	0.673	−0.043	−2.899
		Γ 1→3	0.000	3.563	0.532	0.945
POWER vs. LINEAR		Γ 1→2	0.236	0.877	0.067	1.000
		Γ 2→3	0.011	0.011	0.028	0.616
		Γ 1→3	0.700	0.278	0.032	0.518
LINEAR vs. IDENTITY		Γ 1→2	0*	0*	0*	0*
		Γ 2→3	0*	0*	0*	0*
		Γ 1→3	0*	0*	0.257	0*