Table 3.
Random effect beta GLM of best estimates predicted by causal valence, question types, and covariance in Study 1.
| Variables | Parameter | Coefficient | SE | 2.5% | 97.5% |
|---|---|---|---|---|---|
| Random intercept | 0.57 | 0.10 | 0.38 | 0.76 | |
| Location submodel | |||||
| Intercept | b0 | 0.26 | 0.07 | 0.12 | 0.40 |
| Causal valence | b1 | -0.06 | 0.07 | -0.19 | 0.10 |
| Covar2 | b2 | -0.13 | 0.04 | -0.20 | -0.05 |
| Covar3 | b3 | 0.27 | 0.04 | 0.20 | 0.34 |
| Structure | b4 | 0.00 | 0.04 | -0.08 | 0.07 |
| Predictive | b5 | -0.06 | 0.04 | -0.14 | 0.01 |
| Covar2 × Causal valence | b6 | 0.00 | 0.04 | -0.07 | 0.08 |
| Covar3 × Causal valence | b7 | -0.10 | 0.04 | -0.17 | -0.02 |
| Precision submodel | |||||
| Intercept | d0 | 2.20 | 0.06 | 2.08 | 2.30 |
| Causal valence | d1 | 0.29 | 0.06 | 0.18 | 0.40 |
| Covar2 | d2 | -0.17 | 0.09 | -0.34 | 0.02 |
| Covar3 | d3 | 0.07 | 0.09 | -0.10 | 0.24 |
| Structure | d4 | -0.01 | 0.08 | -0.18 | 0.15 |
| Predictive | d5 | -0.18 | 0.09 | -0.36 | 0.01 |
Causal valence is coded as -1 = generative condition and 1 = preventive condition. The two dummy variables for covariation conditions: Covar2 is coded as -1 = C1, 1 = C2, and 0 = C3 condition. Covar3 is coded as -1 = C1, 0 = C2, and 1 = C3 condition. The coefficients of Covar2/Covar3 represent the difference between the ratings in the C2/C3 condition and the overall mean/precision of the causal ratings. The two dummy variables for question type conditions: Structure is coded as -1 = strength judgment, 1 = structure judgment, and 0 = predictive judgment; predictive is coded as -1 = strength judgment, 0 = structure judgment, and 1 = predictive judgment. The coefficients of Structure/Predictive represent the difference between the ratings in the Structure/Predictive question and the overall mean/precision of the causal ratings. 2.5 and 97.5% are the lower and upper bounds of the 95% credibility interval.