Table 3 Relationships between warmth and competence perceptions of the protagonist ‘protest movements' 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 (Protest movements) associated with

Opposition intentions (Protest movements) associated with

Adherence to prevention measures associated with

Vaccination behavior associated with

Warmth

Competence

Warmth

Competence

Warmth

Competence

Warmth

Competence

Argentina

273

.738

.670

− .538

− .488

− .188

− .182

− .065

− .084

Armenia

286

.399

.407

− .162

− .123

− .054

.130

− .122

− .055

Australia

205

.663

.492

− .755

− .599

− .244

− .241

− .571

− .392

Austria

311

.774

.777

− .751

− .708

− .169

− .154

− .204

− .256

Belgium

316

.731

.697

− .711

− .683

− .325

− .383

− .544

− .577

Bosnia and Herzegovina

293

.331

.354

− .267

− .348

− .089

− .163

− .293

− .329

Brazil

665

.588

.557

− .471

− .439

− .240

− .219

− .174

− .180

Bulgaria

227

.617

.581

− .703

− .546

− .282

− .106

− .442

− .304

Canada

366

.607

.514

− .572

− .564

− .206

− .209

− .247

− .165

China

NA

NA

NA

NA

NA

NA

NA

NA

NA

Cyprus (GCC)

285

.673

.656

− .596

− .549

− .279

− .249

− .511

− .514

Cyprus (TCC)

295

.668

.586

− .162

− .081

.069

.071

− .103

− .096

Czech Republic

407

.443

.173

− .142

− .087

− .214

− .042

− .141

− .006

Finland

293

.771

.588

− .757

− .556

− .587

− .485

− .662

− .482

France

287

.844

.839

− .835

− .814

− .470

− .512

− .611

− .664

Georgia

286

.497

.168

− .451

− .099

− .199

.025

− .353

− .162

Germany

351

.823

.747

− .697

− .647

− .449

− .390

− .568

− .492

Ghana

309

.598

.501

− .365

− .343

.020

.053

− .181

− .079

Ireland

535

.764

.749

− .566

− .540

− .211

− .216

− .302

− .269

Italy

290

.202

.228

− .199

− .223

.044

− .061

− .077

− .116

Kazakhstan

270

.564

.551

− .510

− .478

− .318

− .250

− .159

− .287

New Zealand

288

.741

.694

− .608

− .593

− .294

− .276

− .297

− .306

Norway

238

.528

.675

− .424

− .396

− .229

− .298

− .231

− .349

Poland

436

.498

.140

− .275

− .090

− .181

.008

− .278

− .049

Portugal

293

.632

.590

− .454

− .485

− .210

− .202

− .120

− .154

Romania

307

.490

.499

− .224

− .185

− .096

− .106

− .075

− .074

Russia

NA

NA

NA

NA

NA

NA

NA

NA

NA

Slovakia

357

.777

.362

− .230

− .270

− .440

− .237

− .574

− .224

Spain

327

.588

.539

− .535

− .428

− .141

− .092

− .282

− .275

Switzerland

347

.751

.365

− .567

− .325

− .333

− .127

− .414

− .215

Turkey

330

.421

.436

− .464

− .448

− .118

− .095

− .266

− .251

United Kingdom

339

.696

.450

− .654

− .419

− .235

− .077

− .237

− .174

Ukraine

454

.731

.798

− .590

− .640

− .286

− .348

− .509

− .578

USA

306

.831

.673

− .646

− .453

− .343

− .224

− .269

− .204

Uzbekistan

NA

NA

NA

NA

NA

NA

NA

NA

NA

Fixed effects approach

M rz

 

.7744

.6287

− .568

− .476

− .241

− .186

− .326

− .270

M r

 

.650

.557

− .514

− .443

− .236

− .184

− .315

− .264

Combined Z

 

63.852

54.312

− 50.305

− 43.352

− 23.337

− 18.055

− 31.338

− 26.394

 

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

Heterogeneity test (Chi-square)

 

645.263(31)

804.911(31)

747.565(31)

660.016(31)

239.096(31)

256.159(31)

426.484(31)

405.370(31)

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

p < .001

Random effects approach

One-sample t-test

 

22.711(31)

16.073(31)

− 13.963(31)

− 12.103(31)

− 8.864(31)

− 6.532(31)

− 9.791(31)

− 8.605(31)

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).