Table 3.
Model | Predictors | df | −2 ln L | BIC | ΔBIC | w | Term | Beta | SE | t |
---|---|---|---|---|---|---|---|---|---|---|
1 | Cost | 6 | 17291.6 | 17340.0 | 43.0 | 0.0 | Cost | 0.77 | 0.10 | 7.96 |
2 | Benefit | 6 | 17390.8 | 17439.0 | 142.0 | 0.0 | Benefit | 0.62 | 0.09 | 7.10 |
3b | Cost + benefit | 10 | 17217.4 | 17297.0 | 0.0 | 1.0 | Cost | 0.78 | 0.11 | 7.43 |
Benefit | 0.64 | 0.10 | 6.11 | |||||||
4 | Cost + benefit | 15 | 17213.0 | 17333.0 | 36.0 | 0.0 | Cost | 0.62 | 0.17 | 3.63 |
+ cost × benefit | Benefit | 0.47 | 0.16 | 2.98 | ||||||
Interaction | 0.07 | 0.06 | 1.17 |
aL, Likelihood; ΔBIC = BIC − min(BIC); w (exceedance probability) = exp(−0.5 × ΔBIC)/sum(exp(−0.5 × ΔBIC)) (Lewandowsky and Farrell, 2010).
bBest model.