Table 2.

Parameter values obtained by fitting the hyperbolic function (Equ. 1) for the groups and conditions within each dataset. Akaike Information Criterion (AlC) measure for the fit of the hyperbolic function is provided and the Area Under the Curve (AUC) created by the indifference points is also shown.

Dataset	Median k	Mean ln(k)	Median AICa	Mean AUC
ADHD
Diagnosed	0.041*	−2.942*	−0.760	0.393
Undiagnosed	0.024	−4.010	1.262	0.463
SMOKING
Smokers	0.128*	−1.842*	17.022	0.485*
Never smokers	0.021	−3.831	18.175	0.753
AMOUNT
$10	0.003*	−6.020*	−3.274	0.649*
$100	0.001	−6.950	20.384	0.777

^aCalculated using the formula $AIC=2p+n\left(\text{ln}(SSe∕n)\right)$, where p represents the number of parameters (p = 1 for the hyperbolic function [Equ. 1]), n represents the number of data points (n = 5 or 6 delays), and SSe is the sum of squares for the error term of the regression. Smaller numbers are interpreted as indicating superior fits.

^*p < 0.05 comparing k, In(k) and AUC parameters between groups or conditions within a dataset (see text).