Table 3 Multinomial regression analyses

Intercept

−4.168***

223.029

−5.035***

262.344

−5.124***

256.522

−4.269***

236.402

−4.550***

245.650

Policy1

.265**

9.275

1.304

.331***

13.540

1.393

.360***

14.845

1.194

.452***

28.114

1.571

.259**

8.857

1.296

Policy2

443***

31.147

1.557

.357***

19.384

1.429

.385***

20.377

1.243

.134

3.025

1.143

.212**

7.393

1.236

Policy3

.416***

22.808

1.516

.294***

11.531

1.341

.231*

6.274

1.051

.282***

11.831

1.326

.278**

11.204

1.321

Policy4

.256**

9.973

1.292

.220**

7.025

1.246

.275***

10.288

1.113

.290***

13.718

1.337

.208*

6.650

1.231

Policy5

.063

0.462

1.065

.440***

20.741

1.553

.438***

19.013

1.273

.254**

7.928

1.289

.321***

12.240

1.378

Policy6

.253**

9.535

1.288

.262**

9.767

1.299

.304***

12.192

1.142

.175*

4.828

1.191

.397***

24.214

1.487

Intercept

−1.895***

57.409

−2.042***

64.441

−2.390***

84.768

−1.795***

57.620

−1.741***

53.338

Policy1

.123

2.095

1.131

.119

2.022

1.127

.185*

4.849

1.021

.210**

6.581

1.234

.157

3.726

1.170

Policy2

.080

1.008

1.084

.219**

7.940

1.245

.259***

10.822

1.110

.003

.002

1.003

.119

2.517

1.127

Policy3

.241**

7.422

1.273

.055

.418

1.057

.144

2.773

.975

.167*

4.144

1.182

.122

2.185

1.129

Policy4

.179*

5.111

1.196

.074

.890

1.077

.023

.088

.877

.051

.441

1.052

.038

.238

1.038

Policy5

-.005

0.003

0.995

.206*

5.027

1.229

.344***

14.090

1.179

.174*

3.954

1.190

.147

2.828

1.159

Policy6

.150

3.373

1.161

.122

2.368

1.130

.117

2.140

.961

.054

.477

1.055

.050

.412

1.052

−2log likelihood

2.065E3

2.070E3

2.090E3

2.078E3

2.069E3

−2log likelihood

1.602E3

1.546E3

1.585E3

1.661E3

1.605E3

chi-square

462.917

523.922

505.257

416.901

463.291

Df

12

12

12

12

12

Sig

0.000

0.000

0.000

0.000

0.000