Table 14

Linear model analysis coefficients and SEs for break point in reward-seeking

Linear model: BDI
pred. sensitivity (d′)
(Intercept)114.96*** (3.56)
BDI (prop. score)2.79 (10.06)
Gender6.66 (4.30)
Sample−3.31 (6.45)
BDI (prop. score) × Gender−12.94 (12.64)
BDI (prop. score) × Sample10.64 (20.01)
Gender × Sample3.16 (10.88)
BDI (prop. score) × Gender × Sample−1.17 (46.44)
Num. obs.294
R20.019
R2 adj.−0.005
AIC2507.8
BIC2541.0
Log. Lik.−1244.920
F0.775
RMSE16.70

  • BDI (prop. score) = depression score on the Beck Depression Inventory II. Proportion scores are scores divided by total possible score. AIC = Akaike information criterion, BIC = Bayesian information criterion, Log. Lik. = log likelihood, RMSE = root mean squared error.

  • ***p < 0.001.