Table 2.

Models of postscan gratitude rating^a

Model	Predictors	df	−2 ln L	BIC	ΔBIC	w	Term	Beta	SE	t
1	Cost	6	2086.0	2124.6	273.6	0.0	Cost	0.83	0.06	13.06
2	Benefit	6	2426.0	2464.5	613.5	0.0	Benefit	0.33	0.11	2.96
3	Cost + benefit	10	1856.4	1920.7	69.7	0.0	Cost	0.83	0.06	13.06
							Benefit	0.33	0.11	2.96
4b	Cost + benefit	15	1754.5	1851.0	0.0	1.0	Cost	0.80	0.16	5.02
	+ cost × benefit						Benefit	0.30	0.07	4.58
							Interaction	0.01	0.05	0.26

^aL, Likelihood; ΔBIC = BIC − min(BIC); w (exceedance probability) = exp(−0.5 × ΔBIC)/sum(exp(−0.5 × ΔBIC)) (Lewandowsky and Farrell, 2010).

^bBest model.