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Table 5 Disaggregate SCP analysis: mixed-effect logistic regression (n=2638)

From: Situational crime prevention and worldwide piracy: a cross-continent analysis

Variables Odds ratio [Exp(B)] SE z p 95% CI for Exp (B)
Lower Upper
Increased risk
 Alarm raised 4.33 0.74 8.60 0.00 3.10 6.04
 Watchman present 1.84 0.30 3.72 0.00 1.33 2.53
 Anti-piracy watch 1.24 0.31 0.85 0.40 0.75 2.03
 Private security 9.23 3.85 5.33 0.00 4.07 20.90
 Increased lighting 8.77 4.90 3.88 0.00 2.92 26.24
Increased effort
 Evasive maneuvers 26.81 20.26 4.35 0.00 6.10 117.92
 Crew mustered 1.76 0.32 3.11 0.00 1.23 2.52
Controla
 00:00–05:59 1.04 0.18 0.22 0.83 0.74 1.47
 06:00–11:59 2.01 0.53 2.64 0.01 1.20 3.38
 12:00–17:59 0.99 0.29 −0.03 0.98 0.55 1.77
Weapons present 0.24 0.04 −9.31 0.00 0.18 0.33
Vessel status 2.05 0.38 3.87 0.00 1.42 2.95
Vessel type 0.94 0.15 −0.42 0.67 0.68 1.29
 1 Qtr. 1.50 0.30 2.02 0.04 1.01 2.23
 2 Qtr. 1.02 0.21 0.12 0.91 0.69 1.52
 3 Qtr. 1.06 0.21 0.27 0.78 0.71 1.57
Number of pirates 0.97 0.02 −1.91 0.06 0.94 1.00
Year 0.90 0.02 −5.32 0.00 0.87 0.94
Model
 Constant 4.42e+88 1.70e+90 5.31 0.00 8.50e+55 2.3e+121
 Log likelihood −618.86
 Wald χ² (p) 269.59 (0.00)
  1. The model assumes an unstructured covariance structure to account for the presence of correlation between the random slopes and random intercepts
  2. Listwise deletion of cases
  3. aReference category for time range controls is 18:00–23:59. Reference category for quarter controls is 4 Qtr