Table 2.
Bivariate and multivariate models for conducting overservice enforcement efforts: Local agencies (n=959)
| Bivariate analyses | Multivariate model |
||
|---|---|---|---|
| Independent variables | Percent of agencies 1 |
Χ2 (p) | Odds ratio (95% CI) |
| Population of jurisdiction | |||
| < 10K | 22% | 13.35 (.004)* |
0.64 (0.28, 1.42) |
| 10K–50K | 23% | 0.63 (0.29, 1.36) | |
| 50K–250K | 32% | 0.85 (0.37, 1.93) | |
| > 250K | 42% | Ref. | |
| Percent black | |||
| < 1% | 27% | 10.27 (.016)* |
1.74 (0.75, 4.05) |
| 1–10% | 26% | 1.63 (0.72, 3.68) | |
| 10–25% | 23% | 1.38 (0.57, 3.32) | |
| > 25% | 12% | Ref. | |
| Percent Hispanic | |||
| < 3% | 18% | 17.51 (.0006)* |
0.52 (0.24, 1.10) |
| 3–10% | 27% | 0.74 (0.37, 1.49) | |
| 10–25% | 30% | 0.83 (0.41, 1.68) | |
| > 25% | 36% | Ref. | |
| Percent poverty | |||
| < 15% | 26% | 6.13 (.047)* | 1.31 (0.69, 2.50) |
| 15–25% | 26% | 1.25 (0.66, 2.38) | |
| > 25% | 15% | Ref. | |
| Region (by state) | |||
| Dry (South) | 21% | 2.05 (.358) | -- |
| Moderate (Mid-Atlantic,Pacific, South Coast) | 26% | ||
| Wet (North Central/New England) | 25% | ||
|
Number of fulltime officers per 1000 population |
|||
| < 2 | 26% | 2.90 (.235) | -- |
| 2–4 | 23% | ||
| ≥ 4 | 18% | ||
|
Full-time officer(s) assigned to alcohol enforcement |
|||
| No | 20% | 26.05 (<.0001)* |
0.39 (0.27, 0.56)* |
| Yes | 36% | Ref. | |
|
How common is over-service in jurisdiction? |
|||
| Not common | 19% | 12.04 (.0005)* |
0.60 (0.42, 0.85)* |
| Somewhat/very common | 29% | Ref. | |
1
percentages reported are the percent of agencies doing overservice enforcement at each level of the independent variable.
*
significant at p < .05
Ref. = referent group