Table 2 Logistic regression model of 1-year recidivism (N = 18,698)

Constant

−1.423***

.047

.287

−1.394***

.102

0.248

 Site1

− 0.996***

.158

0.369

−1.026***

.159

0.358

 Site2

−1.819***

.224

0.162

−1.865***

.224

0.155

 Site3

−0.373***

.097

0.689

−0.445***

.098

0.641

 Site4

0.620***

.124

1.858

0.548***

.126

1.731

 Site5

−0.015

.084

0.985

−0.083

.085

0.920

 Site6

0.611***

.098

1.842

0.593***

.098

1.809

 Site7

0.713***

.122

2.041

0.691***

.122

1.996

 Site8

0.690***

.124

1.994

0.606***

.126

1.832

 Site9

−0.377*

.172

0.686

−0.407*

.173

0.666

 Site10

0.720***

.084

2.054

0.671***

.085

1.957

 Site11

0.899***

.075

2.457

0.824***

.077

2.281

 Site12

−0.322***

.083

0.725

−0.382***

.085

0.682

 Site13

− 0.046

.138

0.955

−0.086

.138

0.918

 Site14

0.535***

.065

1.707

0.454***

.068

1.575

 Site15

−2.099***

.135

0.123

−2.112***

.135

0.121

 Site16

1.223***

.091

3.399

1.222***

.091

3.394

 Site17

0.481***

.085

1.618

0.392***

.088

1.481

 Site18

0.243**

.094

1.275

0.175

.096

1.191

 Site19

−0.153

.094

0858

−0.253**

.097

0.776

SU Need

0.633***

.037

1.883

0.637***

.037

1.890

 less

−0.226*

.089

0.798

−0.205*

.090

0.815

 more

0.450***

.088

1.569

0.473***

.089

1.605

TimeEffect1

−0.020

.022

0.980

TimeEffect2

0.018

.019

1.018

TimeEffect3

0.017

.030

1.017

Condition* TimeEffect1

−0.001

.022

0.999

Condition* TimeEffect2

−0.091***

.019

0.913

Condition* TimeEffect3

−0.035

.030

.965

Model Chi-Square (df)

2520.577 (22)

2545.549

(28)

Nagelkerke R²

.177

.178