Multi-level model analysis coefficients and standard errors for choice latency in the reward phase of the task
Multi-level model: choice latency | |
---|---|
(Intercept) | 1.25*** |
(0.34) | |
Sex | −0.07 |
(0.17) | |
Working memory ability (K estimate) | 0.05 |
(0.05) | |
BDI (prop. score) | −1.11* |
(0.54) | |
PSS | 0.01 |
(0.01) | |
Reward anticipation | −0.04 |
(0.04) | |
Effort level | 1.06*** |
(0.13) | |
SD (intercept participant) | 0.18 |
SD (observations) | 1.53 |
Num. Obs. | 542 |
R2 Marg. | 0.114 |
R2 Cond. | 0.127 |
AIC | 2042.9 |
BIC | 2081.6 |
ICC | 0.0 |
RMSE | 1.51 |
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.