TABLE 5.
Generalized linear mixed effect estimates for the choice prediction model including the proposed affective predictors.
| Predictors | Odds ratios | CI | p |
| (Intercept) | 0.37 | 0.03–4.15 | 0.419 |
| Difference expected valence | 3.28 | 2.37–4.54 | <0.001 |
| (gambling–passing) | |||
| Expected gambling arousal | 1.05 | 0.76–1.45 | 0.760 |
| Expected not gambling arousal | 1.21 | 0.87–1.67 | 0.256 |
| Current valence | 1.24 | 0.92–1.68 | 0.156 |
| Current arousal | 0.80 | 0.55–1.16 | 0.233 |
| Random effects | |||
| σ2 | 3.29 | ||
| τ00 Participant | 0.40 | ||
| ICC | 0.11 | ||
| NParticipant | 25 | ||
| Observations | 300 | ||
| Marginal R2/Conditional R2 | 0.733 / 0.762 | ||
Fixed Effects: Odds Ratios, Confidence Intervals (CI), and p-values. Random Effects: σ2 = within-person residual variance, τ00 Participant = between-person variance, ICC = Proportion of variance explained by between-person differences; Marginal R2 = variance explained by fixed effects, Conditional R2 = variance explained by fixed and random effects. Significant results are printed in bold.