Table 2 Parameter estimates and standard errors in hierarchical logistic regression

Intercept

0.451

0.057

0.25

0.055

0.3853

0.0003***

0.597

0.009**

Arrested

0.677

<.001***

0.709

<.001***

0.677

<.001***

0.606

<.001***

Race

0.461

<.001***

0.584

<.001***

0.63

<.001***

0.523

<.001***

Drug

1.221

<.001***

1.183

<.001***

1.235

<.001***

1.066

<.0001***

TV time

0.007

0.027*

0.007

0.005**

0.008

<.001***

0.008

0.008**

Mistreatment

0.309

0.011**

0.293

0.003**

0.33

<.001***

0.214

0.07

Religion

-0.299

0.007***

-0.293

<.001***

-0.31

<.001***

-0.281

0.001***

Alcohol

0.541

<.001***

0.544

<.001***

0.577

<.001***

0.420

<.001***

Kid

0.208

0.017***

0.208

0.002**

0.245

<.001***

0.231

0.006**

Public work

-0.27

0.002**

-0.28

<.001***

-0.302

<.001***

-0.268

0.002**

Starting age

-0.006

<.001***

-0.006

<.001***

-0.007

<.001***

-0.007

<.001***

Education

-0.473

<.001***

-0.509

<.001***

-0.497

<.001***

-0.484

<.001***

Income

-0.074

<.001***

-0.234

<.001***

-0.073

<.001***

-0.087

<.001***

Gender

-0.144

0.1149

-0.17

0.031

-0.18

<.001***

-0.166

0.063

Sports

-0.486

<.001***

-0.493

<.001***

-0.436

<.001***

-0.47

<.001***

Insurance

-0.15

0.177

-0.189

0.029*

-0.158

0.002**

-0.144

0.186

Routine check

-0.111

0.207

-0.103

0.113

-0.11

0.006**

-0.078

0.369

Attitude future

-0.152

0.095

-0.16

0.046*

-0.152

0.001***

-0.143

0.112

Social relation

0.065

0.482

0.102

0.062

0.096

0.024**

0.058

0.526

Job

0.102

0.274

0.082

0.098

0.078

0.070

0.12

0.195

var[Intercept]

0.099

0.023

0.009

<.001***

N/A

N/A

var[Arrested]

0.116

0.025

0.118

<.001***

N/A

N/A

cov[int & Slope]

0.028

0.027

0.03

<.001***

N/A

N/A