Table 3.
ROI | b | Post. SD | 95-% CrI | δT | Pr(b > 0) | Pr(b < 0) | |
---|---|---|---|---|---|---|---|
AC-L | Intercept | 1.06 | 0.02 | 1.04, 1.10 | – | – | – |
Jealousy | 0.05 | 0.03 | −0.01, 0.10 | 0.79 | 96 % | 4 % | |
AC-R | Intercept | 1.08 | 0.02 | 1.04, 1.12 | – | – | – |
Jealousy | 0.01 | 0.02 | −0.04, 0.05 | 0.09 | 60 % | 40 % | |
Ca-L | Intercept | 1.13 | 0.03 | 1.07, 1.18 | – | – | – |
Jealousy | −0.01 | 0.03 | −0.08, 0.06 | −0.14 | 36 % | 64 % | |
Ca-R | Intercept | 1.06 | 0.03 | 0.99, 1.13 | – | – | – |
Jealousy | 0.04 | 0.03 | −0.03, 0.09 | 0.41 | 90 % | 10 % | |
P-L | Intercept | 1.18 | 0.02 | 1.14, 1.23 | – | – | – |
Jealousy | 0.02 | 0.02 | −0.03, 0.06 | 0.26 | 79 % | 21 % | |
P-R | Intercept | 1.15 | 0.04 | 1.06, 1.24 | – | – | – |
Jealousy | −0.02 | 0.05 | −0.12, 0.08 | −0.19 | 31 % | 69 % | |
NAcc-L | Intercept | 0.96 | 0.05 | 0.86, 1.06 | – | – | – |
Jealousy | 0.02 | 0.06 | −0.10, 0.12 | 0.27 | 76 % | 24 % | |
NAcc-R | Intercept | 0.89 | 0.03 | 0.83, 0.96 | – | – | – |
Jealousy | 0.02 | 0.04 | −0.05, 0.09 | 0.11 | 62 % | 38 % | |
VP-L | Intercept | 0.83 | 0.04 | 0.76, 0.90 | – | – | – |
Jealousy | 0.05 | 0.04 | −0.04, 0.13 | 0.38 | 88 % | 12 % | |
VP-R | Intercept | 0.79 | 0.03 | 0.72, 0.85 | – | – | – |
Jealousy | 0.03 | 0.03 | −0.03, 0.10 | 0.45 | 86 % | 14 % |
Note. Intercept is the model estimate for the control condition. Jealousy is the difference from the control condition—the jealousy effect. Post. SD is the posterior standard deviation of the estimate. These estimates were all obtained from the same model Note: interpretation of (δT) follows Cohen’s d (small = 0.2, medium = 0.5, large = 0.8).