Table 2. Logistic regressions predicting a verdict of guilt.
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| ß (S.E.) | ß (S.E.) | ß (S.E.) | |
| Intercept | -2.04 (.29) | -1.99 (.33) | -2.59 (.55) |
| Instruction_Standard | 1.02 (.31)** | 0.95 (.42)* | 0.94 (.32)** |
| ID Quality_Weak | -0.24 (.31) | -0.69 (.49) | -0.22 (.29) |
| Instruction_Standard × ID Quality_Weak | - | 0.17 (.63) | - |
| Male | - | - | -0.13 (.31) |
| Minority | - | - | 0.65 (.35)° |
| College | - | - | 0.72 (.32)* |
| Age_10 | - | - | 0.02 (.12) |
| Null deviance (df) | 311.86 (334) | 311.86 (334) | 311.86 (334) |
| Residual deviance (df) | 299.54 (332) | 299.47 (311) | 290.19 (328) |
Null and residual deviances are shown at the bottom of the table, for assessing overall model fit.
° p < 0.10.
* p < 0.05.
** p < 0.01.