Table 2.
Estimates, credible intervals and Bayes factors (for estimate > 0) of logistic regression models predicting whether participants requested extra information on measures included in the vignettes.
| variable | statistic | overall | women | men | age ≤ 44 | age > 44 |
|---|---|---|---|---|---|---|
| intercept | Est. | −0.04 | −0.02 | −0.13 | −0.09 | 0.01 |
| CI 95 | [−0.15, 0.08] | [−0.14, 0.11] | [−0.36, 0.12] | [−0.25, 0.08] | [−0.14, 0.17] | |
| BF | 1:3 | 1:2 | 1:6 | 1:7 | 1:1 | |
| politicians | Est. | 0.01 | −0.07 | 0.24 | 0.03 | −0.01 |
| CI 95 | [−0.17, 0.18] | [−0.26, 0.12] | [−0.08, 0.56] | [−0.2, 0.26] | [−0.24, 0.21] | |
| BF | 1:1 | 1:3 | 12:1 | 1:1 | 1:1 | |
| scientists | Est. | 0.2 | 0.15 | 0.38 | 0.39 | 0.02 |
| CI 95 | [0.03, 0.36] | [−0.03, 0.32] | [0.06, 0.73] | [0.16, 0.62] | [−0.2, 0.22] | |
| BF | 142:1 | 15:1 | 124:1 | 999:1 | 1:1 | |
| Pol. × Sci. | Est. | −0.25 | −0.13 | −0.65 | −0.51 | 0 |
| CI 95 | [−0.49, − 0.01] | [−0.39, 0.13] | [−1.08, −0.19] | [−0.84, − 0.2] | [−0.31, 0.31] | |
| BF | 1:52 | 1:5 | 1:1000 | 1:1000 | 1:1 |