Table 9

Linear model analysis coefficients and SEs for sensitivity (d ′) in reward-seeking

Linear model: BAI
pred. sensitivity (d′)
(Intercept)3.12*** (0.15)
BAI (prop. score)−0.16 (0.40)
Gender0.34* (0.17)
Sample0.15 (0.27)
BAI (prop. score) × Gender−0.75 (0.52)
BAI (prop. score) × Sample−0.48 (0.84)
Gender × Sample−0.53 (0.42)
BAI (prop. score) × Gender × Sample3.16 (2.69)
Num. obs.294
R20.041
R2 adj.0.017
AIC686.9
BIC720.1
Log. Lik.−334.458
F1.739
RMSE0.75

  • BAI (prop. score) = anxiety score on the Beck Anxiety Inventory. 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 < 0.05, ***p < 0.001.