Table 1. Average parameter estimates for cumulative prospect theory obtained in the affect-poor and affect-rich lottery problems and results of significance testing.

	Lottery Problems		Significance Test for Differences Between Affect-Rich and Affect-Poor Lottery Problems
Parameters	Affect-Poor	Affect-Rich	t(22)	p
γ	0.77 (0.24)	0.43 (0.33)	4.88	<. 001*
δ	0.99 (1.63)	2.47 (3.10)	2.56	= .018**
α	0.73 (0.21)	0.79 (0.26)	0.71	= .480
g	0.07 (0.11)	0.12 (0.19)	1.15	= .261
G 2	40.60 (23.86)	59.74 (32.81)	2.07	= .051

Note. Standard deviations are in parentheses. γ and α model the sensitivity to probabilities and outcomes, respectively, with higher values indicating higher sensitivity; δ models the elevation, with higher values indicating higher risk aversion; g indicates the probability of random guessing. The G ² expected under chance is 116.45.

* Significant tests after adopting a Bonferroni-Holm correction [50]. With m = 5 tests, the observed p values are first ordered in ascending order and are then tested with α₁ = 0.05/m, α₂ = 0.05/(m−1), …, α_j = 0.05/(m−(j−1)).

** One-tailed.