Table 2 Relationships between warmth and competence perceptions of the protagonist ‘physicians' with pandemic-related behavioral intentions and behaviors within and across 35 countries.

From: Warmth and competence perceptions of key protagonists are associated with containment measures during the COVID-19 pandemic: Evidence from 35 countries

Country

N

Support intentions (Physicians) associated with

Opposition intentions (Physicians) associated with

Adherence to prevention measures associated with

Vaccination behavior associated with

Warmth

Competence

Warmth

Competence

Warmth

Competence

Warmth

Competence

Argentina

273

.460

.409

− .537

− .402

.011

.019

.076

− .044

Armenia

286

.279

.289

− .233

− .189

.135

.145

.100

.077

Australia

205

.709

.501

− .392

− .135

.226

.253

.369

.293

Austria

311

.635

.539

− .562

− .607

.245

.199

.261

.269

Belgium

316

.523

.488

− .262

− .368

.104

.161

.084

.212

Bosnia and Herzegovina

293

.496

.438

− .396

− .385

.072

− .020

.136

.066

Brazil

665

.410

.442

− .281

− .312

.121

.113

.086

.089

Bulgaria

227

.479

.455

− .436

− .365

.192

.240

.171

.093

Canada

366

.420

.384

− .234

− .313

.089

.100

.001

− .098

China

255

.316

.335

− .105

− .073

.096

.111

.054

.096

Cyprus (GCC)

285

.633

.625

− .490

− .488

.241

.267

.481

.521

Cyprus (TCC)

295

.612

.577

− .360

− .390

− .005

.039

.069

.092

Czech Republic

407

.576

.505

− .393

− .294

.093

− .021

.201

.074

Finland

293

.787

.743

− .642

− .644

.304

.274

.445

.457

France

287

.505

.574

− .617

− .676

.178

.303

.351

.397

Georgia

286

.536

.534

− .357

− .329

.304

.321

.074

.011

Germany

351

.379

.385

− .229

− .314

.118

.165

.096

.207

Ghana

309

.366

.365

− .245

− .225

.205

.190

.020

− .020

Ireland

535

.579

.592

− .304

− .315

.183

.204

.163

.108

Italy

290

.090

.006

− .047

− .117

− .055

− .057

.070

.050

Kazakhstan

270

.607

.487

− .194

− .096

.002

.010

− .040

− .137

New Zealand

288

.588

.553

− .564

− .534

.194

.158

.207

.110

Norway

238

.510

.547

− .240

− .351

.021

− .016

.025

.027

Poland

436

.309

.330

.021

− .072

.105

.139

.025

.057

Portugal

293

.569

.541

− .436

− .404

.070

.053

.159

.129

Romania

307

.580

.605

− .396

− .421

.177

.214

.218

.181

Russia

325

.462

.469

− .311

− .329

.161

.141

.121

.143

Slovakia

357

.717

.620

− .497

− .529

.304

.307

.376

.364

Spain

327

.527

.485

− .387

− .487

.126

.128

.305

.259

Switzerland

347

.667

.592

− .258

− .224

.255

.279

.201

.134

Turkey

330

.411

.469

− .167

− .218

.145

.172

.243

.295

United Kingdom

339

.545

.398

− .312

− .230

.016

.023

.166

.114

Ukraine

454

.524

.303

− .286

− .165

.181

.133

.198

.152

USA

306

.449

.310

− .180

− .099

.127

.081

.115

.015

Uzbekistan

383

.440

.452

− .196

− .241

.142

.148

.128

.103

Fixed effects approach

M rz

 

.568

.511

− .337

− .330

.143

.143

.164

.139

M r

.514

.471

− .325

− .319

.142

.142

.162

.138

Combined Z

53.723

49.714

− 34.671

− 34.355

14.923

15.133

17.355

14.783

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

Heterogeneity test (Chi-square)

 

378.320(34)

303.594(34)

354.224 (34)

381.468(34)

89.097(34)

115.932(34)

185.677(34)

247.486(34)

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

Random effects approach

One-sample t-test

 

21.664(34)

20.852(34)

− 12.487(34)

− 11.918(34)

9.039(34)

8.109(34)

7.672(34)

5.642(34)

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

  1. TCC represents Turkish Cypriot Community, GCC represents Greek Cypriot Community. M rz = weighted mean r (Fisher's z transformed). M r = weighted mean r (converted from rz to r). Small (r = .10), medium (r = .30), or large (r = .50) (cf.70).
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