Table 3 Happiness model group-level parameter comparisons: On versus Off medication. Participants’ ‘happiness’ with their decision outcomes were modeled as the dependent variables using Eq. 1. Parameter weight estimates for each group (ICD and non-ICD) and medication state (on and off) were determined using hierarchichal bayesian modeling (Table 2). Cohen’s d effect sizes and highest density intervals (95% HDI) for comparisons across non-ICD-on versus non-ICD-off (3a) or ICD-on versus ICD-off (3b) with corresponding credible differences are reported.
(a) non-ICD On : non-ICD Off | Cohen’s d | 95% Highest Density Interval | % Credible Differences |
|---|---|---|---|
Baseline (w0) | 1.1790 | −0.1887 to 0.4554 | 20.02% < 0 < 79.98% |
Certain Reward (w1) | −0.8350 | −0.0811 to 0.0445 | 72.65% < 0 < 27.35% |
Gamble EV (w2) | −1.2096 | −0.1144 to 0.0455 | 80.60% < 0 < 19.40% |
RPE (w3) | −0.2568 | −0.1955 to 0.1688 | 57.84% < 0 < 42.16% |
Recent Experience Weight (γ) | 0.5022 | −0.1160 to 0.1647 | 35.75% < 0 < 64.25% |
(b) ICD On : ICD Off | Cohen’s d | 95% Highest Density Interval | % Credible Differences |
|---|---|---|---|
Baseline (w0) | −2.0227 | −0.5092 to 0.0905 | 92.27% < 0 < 7.72% |
Certain Reward (w1) | 2.6644 | −0.0008 to 0.1082 | 2.99% < 0 < 97.01% |
Gamble EV (w2) | 2.5143 | −0.0040 to 0.1296 | 3.91% < 0 < 96.09% |
RPE (w3) | 0.3491 | −0.1178 to 0.1387 | 39.45% < 0 < 60.55% |
Recent Experience Weight (γ) | −0.4497 | −0.2247 to 0.1672 | 61.52% < 0 < 38.48% |
