Table 2.

Models of postscan gratitude ratinga

ModelPredictorsdf−2 ln LBICΔBICwTermBetaSEt
1Cost62086.02124.6273.60.0Cost0.830.0613.06
2Benefit62426.02464.5613.50.0Benefit0.330.112.96
3Cost + benefit101856.41920.769.70.0Cost0.830.0613.06
Benefit0.330.112.96
4bCost + benefit151754.51851.00.01.0Cost0.800.165.02
+ cost × benefitBenefit0.300.074.58
Interaction0.010.050.26
  • aL, Likelihood; ΔBIC = BIC − min(BIC); w (exceedance probability) = exp(−0.5 × ΔBIC)/sum(exp(−0.5 × ΔBIC)) (Lewandowsky and Farrell, 2010).

  • bBest model.