Linear model analysis coefficients and SEs for break point in reward-seeking
| Linear model: BAI pred. sensitivity (d′) | |
|---|---|
| (Intercept) | 113.69*** (3.21) |
| BAI (prop. score) | 7.21 (8.83) |
| Gender | 6.73+ (3.84) |
| Sample | |
| BAI (prop. score) × Gender | |
| BAI (prop. score) × Sample | 9.61 (18.66) |
| Gender × Sample | 3.79 (9.34) |
| BAI (prop. score) × Gender × Sample | |
| Num. obs. | 294 |
| R2 | 0.019 |
| R2 adj. | |
| AIC | 2507.8 |
| BIC | 2540.9 |
| Log. Lik. | |
| F | 0.786 |
| RMSE | 16.70 |
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 < 0.1, ***p < 0.001.