Table 2.
Logistic regression model predicting stranger rape conviction.
| Model | B | SE | Wald χ2 | Odds ratio | 95% CI | Lower | Upper | |
|---|---|---|---|---|---|---|---|---|
| Victim age | 0.02 | 0.01 | 4.43* | 1.02 | 1.00 | 1.05 | ||
| Victim alcohol/drugs | −0.47 | 0.28 | 2.89 | 0.62 | 0.36 | 1.08 | ||
| Number perpetrators | −0.37 | 0.16 | 5.10* | 0.69 | 0.50 | 1.00 | ||
| Outdoors vs. indoors | −0.63 | 0.28 | 5.06* | 0.54 | 0.31 | 0.92 | ||
| Outdoor vs. vehicle | −0.12 | 0.65 | 0.03 | 0.89 | 0.25 | 3.18 | ||
| Penetrative sexual behaviour | 0.73 | 0.24 | 9.64** | 2.08 | 1.31 | 3.30 | ||
| Verbal violence | 1.15 | 0.60 | 4.19* | 3.14 | 1.05 | 9.40 | ||
| Weapon | 0.18 | 0.33 | 0.31 | 1.20 | 0.63 | 2.30 | ||
| Theft from victim | 1.27 | 0.40 | 10.40** | 3.58 | 1.65 | 7.78 | ||
| Constant | −0.06 | 0.55 | 0.01 | 0.94 | ||||
Note: * p < 0.05, ** p < 0.01. Overall model: χ2 (9, N = 394) = 63.73, p = <0.001, R 2 Nagelkerke = 0.24.