Table 3 Multiple linear regression analyses

Constant

30.932

9.193

3.365

.001

12.397

5.498

2.255

.025

18.761

5.102

3.677

.000

Socio-Demographics

Age

-.058

.047

-.076

-1.230

.220

.694

1.441

-.028

.028

-.061

-.983

.327

.698

1.433

-.031

.026

-.077

-1.177

.240

.694

1.441

Country

5.121

4.503

.097

1.137

.256

.370

2.701

4.302

2.691

.138

1.599

.111

.360

2.775

.649

2.500

.023

.260

.795

.370

2.701

Profession

.291

.124

.128

2.353

.019

.902

1.109

.124

.074

.092

1.674

.095

.897

1.115

.165

.069

.139

2.408

.017

.902

1.109

Religiosity

-.190

.178

-.079

-1.067

.287

.488

2.049

-.074

.107

-.052

-.690

.491

.478

2.092

-.111

.099

-.088

-1.121

.263

.488

2.049

Personality-psychologicalconstructs

Big-5: O

-.162

.262

-.034

-.620

.536

.881

1.135

-.205

.157

-.072

-1.308

.192

.881

1.135

.045

.145

.018

.310

.757

.881

1.135

Big-5: C

.170

.278

.039

.611

.542

.675

1.480

.108

.166

.041

.652

.515

.676

1.479

.070

.154

.030

.457

.648

.675

1.480

Big-5: E

-.335

.215

-.087

-1.560

.120

.864

1.157

-.193

.129

-.084

-1.499

.135

.862

1.161

-.147

.119

-.072

-1.233

.219

.864

1.157

Big-5: A

-.352

.272

-.074

-1.294

.197

.814

1.229

-.131

.163

-.046

-.805

.422

.810

1.234

-.215

.151

-.086

-1.421

.157

.814

1.229

Big-5: N

.179

.224

.049

.798

.426

.704

1.420

.095

.134

.044

.711

.477

.704

1.421

.093

.124

.049

.746

.456

.704

1.420

Self-Esteem

.112

.109

.073

1.033

.303

.535

1.868

.048

.065

.052

.738

.461

.536

1.865

.061

.060

.076

1.013

.312

.535

1.868

Tol. ambiguity

-.001

1.115

.000

-.001

1.00

.757

1.321

.129

.668

.011

.193

.947

.757

1.320

-.116

.619

-.012

-.187

.852

.757

1.321

Morality-related constructs

Injustice sens

-1.528

.564

-.160

-2.709

.007

.765

1.307

-.880

.333

-.156

-2.640

.009

.772

1.295

-.666

.313

-.133

-2.128

.034

.765

1.307

MF: harm

.613

.781

.053

.785

.433

.595

1.681

.584

.465

.079

1.178

.240

.601

1.664

.040

.434

.007

.093

.926

.595

1.681

MF: fairness

.404

.797

.033

.506

.613

.635

1.575

.084

.467

.012

.181

.857

.649

1.541

.333

.443

.052

.751

.453

.635

1.575

MF: ingroup

-.076

.584

-.010

-.130

.896

.470

2.126

-.100

.347

-.022

-.289

.773

.465

2.150

.057

.324

.014

.176

.861

.470

2.126

MF: authority

1.556

.629

.247

2.471

.014

.269

3.718

1.106

.373

.293

2.963

.003

.274

3.654

.427

.349

.129

1.222

.223

.269

3.718

MF: purity

.703

.545

.115

1.290

.198

.336

2.973

.181

.324

.050

.559

.577

.340

2.941

.497

.303

.155

1.643

.102

.336

2.973

Genderism

1.521

.722

.215

2.107

.036

.257

3.889

1.066

.429

.256

2.482

.014

.251

3.977

.473

.401

.127

1.179

.239

.257

3.889

QoL

Health

-.011

.036

-.018

-.296

.768

.739

1.353

-.001

.021

-.003

-.047

.963

.738

1.355

-.010

.020

-.032

-.509

.611

.739

1.353

Crit. life events

-.255

.242

-.058

-1.054

.293

.899

1.112

-.150

.145

-.056

-1.034

.302

.900

1.111

-.111

.135

-.048

-.828

.408

.899

1.112

F-Test and R²

F(20,277) = 4.769, p = .000; R2 = .256

F(20,280) = 4.642, p = .000; R2 = .249

F(20,277) = 2.894, p = .000; R2 = .173