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) | |
Gender | 0.34* (0.17) |
Sample | 0.15 (0.27) |
BAI (prop. score) × Gender | |
BAI (prop. score) × Sample | |
Gender × Sample | |
BAI (prop. score) × Gender × Sample | 3.16 (2.69) |
Num. obs. | 294 |
R2 | 0.041 |
R2 adj. | 0.017 |
AIC | 686.9 |
BIC | 720.1 |
Log. Lik. | |
F | 1.739 |
RMSE | 0.75 |
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.