Table 3 Multinomial logistic regression model for variables that explain participants' preference

Participant preference

Coefficient, B

Standard Error

P-Value

Exp(B)

95% CI for Exp(B)

No preference Vs Four-page

Â Â Â Â Â

Gender

0.656

0.518

0.205

1.927

0.698 to 5.317

Age

0.013

0.027

0.620

1.013

0.962 to 1.068

Education

-0.111

0.086

0.199

0.895

0.756 to 1.060

Employed

0.090

0.700

0.897

1.094

0.277 to 4.320

Treatment

0.080

0.460

0.862

1.083

0.440 to 2.666

Constant

0.013

2.101

0.995

1.013

0.016 to 62.231

One-page Vs Four-page

Â Â Â Â Â

Gender

-0.679

0.492

0.168

0.507

0.193 to 1.330

Age

0.027

0.027

0.317

1.027

0.974 to 1.084

Education

0.015

0.069

0.828

1.015

0.887 to 1.162

Employed

-0.686

0.866

0.428

0.504

0.092 to 2.748

Treatment

-0.396

0.490

0.419

0.673

0.257 to 1.759

Constant

-1.833

1.853

0.323

0.160

0.004 to 6.040

One-page vs No preference

Â Â Â Â Â

Gender

-1.335

0.616

0.030

0.263

0.079 to 0.880

Age

0.014

0.033

0.674

1.014

0.950 to 1.083

Education

0.126

0.098

0.199

1.134

0.516 to 1.373

Employed

-0.776

0.977

0.427

0.460

0.068 to 3.126

Treatment

-0.476

0.579

0.411

0.621

0.200 to 1.933

Constant

-1.846

2.476

0.456

0.158

0.001 to 20.230

1. Log likelihood = -115.5; number of observations = 121; likelihood ratio Ï‡2-test statistic, 9.9 df = 10 (P = 0.445); pseudo R2 = 0.041