Table 3.

The random effects estimates (b-values) for participants that met the algorithm criterion for Type 1 nonsystematic functions, and had estimates that deviated significantly from the overall estimates in the mixed effects regression model. The mixed effects model included log k-value entered as an intercept and slope parameter for both fixed and random effects determination. For the fixed effects, the intercept indicated that participants were significantly SS-preferring at the middle k-value, t(2847) = −7.08, p < .001, b = −2.19, [−2.80, −1.59]. LL choices increased significantly overall as a function of log k-value, t(2847) = 18.65, p < .001, b = 1.93, [1.73, 2.13]. The b-values for the individuals are the model estimates from the individual fit of the random effects parameters, with positive intercepts indicating more LL preferring and negative intercepts indicating more SS preferring (0 indicates indifference). Higher positive slopes indicate steeper discounting functions. Significant (p < .05) deviations from the overall intercept (−2.19) and slope (1.93) are indicated in bold text and non-significant deviations are indicated in italics.

Participant	Intercept	Slope
8	0.52	1.64
17	0.52	1.63
33	1.88	1.22
35	−0.09	0.42
37	0.84	0.77
39	−0.81	0.99
48	0.44	1.18
49	−0.35	1.46
51	0.39	0.99
54	−0.85	0.18
59	−0.69	0.83
63	1.14	1.20
65	−0.26	1.18
79	−0.57	1.11
100	−1.10	0.98
102	−0.97	0.36