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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