Linear model analysis coefficients and SEs for sensitivity (d ′) in avoidance
| Linear model: BAI pred. sensitivity (d′) | |
|---|---|
| (Intercept) | 2.46*** (0.09) |
| BAI (prop. score) | |
| Gender | 1 (0.11) |
| Sample | |
| BAI (prop. score) × Gender | 0.74* (0.31) |
| BAI (prop. score) × Sample | 0.73* (0.29) |
| Gender × Sample | 0.06 (0.15) |
| BAI (prop. score) × Gender × Sample | |
| Num. obs. | 523 |
| R2 | 0.050 |
| R2 adj. | 0.037 |
| AIC | 769.8 |
| BIC | 808.2 |
| Log. Lik. | |
| F | 3.893 |
| RMSE | 0.50 |
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.