Multi-level model analysis coefficients and standard errors for accuracy in the reward phase of the task
| Multi-level model: accuracy | |
|---|---|
| (Intercept) | 0.64*** |
| (0.02) | |
| Sex | 0.01 |
| (0.01) | |
| Working memory ability (K estimate) | 0.01** |
| (0.00) | |
| BDI (prop. score) | −0.01 |
| (0.04) | |
| PSS | 0.00 |
| (0.00) | |
| Reward anticipation | 0.00 |
| (0.00) | |
| Effort level | 0.25*** |
| (0.01) | |
| SD (intercept participant) | 0.04 |
| SD (observations) | 0.10 |
| Num. Obs. | 542 |
| R2 Marg. | 0.592 |
| R2 Cond. | 0.656 |
| AIC | −840.0 |
| BIC | −801.3 |
| ICC | 0.2 |
| RMSE | 0.09 |
BDI (prop. score), depression score on the beck depression inventory; PSS, perceived stress scale. Proportion scores are scores divided by total possible score. AIC, Akaike information criterion; BIC, Bayesian information criterion; ICC, intraclass correlation; RMSE, root mean squared error.
+p < 0.1, *p < 0.05, **p < 0.01, ***p < 0.001.