Table 5.
Term | Estimate |
---|---|
Intercept | 0.569 (0.120)*** |
Vision PE | 0.096 (0.054)† |
Auditory PE | 0.075 (0.050) |
Age | 0.072 (0.083) |
Gender | −0.072 (0.168) |
Variance component | Estimate |
Var(π0ij) | 0.292 |
Var(π1ij) | 0.027 |
Var(π2ij) | 0.011 |
Fit statistic | Statistic |
AIC | 2888.4 |
BIC | 2951.2 |
Gender was dummy coded (0 = male; 1 = female). The alternate maps correspond to the terms listed in the table (Vision, Auditory). Association maps for each term were used. Var() refers to a variance component of a given random effect from the model. Results come from a multilevel logistic regression model, with log-odds of a risky choice as the dependent variable.
***p < 0.001.
†p < 0.10.