Iteration 0: log likelihood = −87.129444

Iteration 1: log likelihood = −60.919341

Iteration 2: log likelihood = −60.036189

Iteration 3: log likelihood = −60.027714

Iteration 4: log likelihood = −60.027711

Logistic regression

Number of obs = 138

LR chi2(12) = 54.20

prob > chi2 = 0.0000

Log likelihood = −60.027711

pseudo R2 = 0.3111

Satisfaction

Odds Ratio

Std. Εrr.

Z

P > |z|

[95% conf.

Interval]

gender

0.494549

0.2497264

−1.39

0.163

0.1838181

1.330547

age

0.9250424

0.5068755

−0.14

0.887

0.3160437

2.707548

residence

1.039792

0.0383172

1.06

0.290

0.9673396

1.117671

understanding

1.189048

−3452071

0.60

0.551

0.6730954

2.100497

education

1.441591

0.3900228

1.35

0.176

0.8483

2.449824

job

0.9380585

0.3687798

−0.16

0.871

0.4341066

2.027046

insurance

1.811682

2.187959

0.49

0.623

0.1698595

19.32297

income

1.000452

0.000484

0.93

0.350

0.999504

1.001401

community

0.2833629

0.1535312

−2.33

0.020

0.0979821

0.819482

disease

3.885329

2.101695

2.51

0.012

1.345818

11.2168

payment

1.171142

0.9771822

0.19

0.850

0.2282342

6.009502

trust

4.140779

1.361257

4.32

0.000

2.173975

7.886959