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Table 2 Standardized Factor Loadings (Ī») and Uniquenesses (Ī“) for the Models (nā€‰=ā€‰1048)

From: The psychometric properties and measurement invariance of the Burnout Assessment Tool (BAT-23) in South Africa

Ā 

CFA

Second-order

Bifactor CFA

ESEM

Bifactor ESEM

Item

Ī»

Ī“

Ī»

Ī“

G-Ī»

S-Ī»

Ī“

Ī»

Ī»

Ī»

Ī»

Ī“

G-Ī»

S-Ī»

S-Ī»

S-Ī»

S-Ī»

Ī“

Exhaustion

Ā Ā 

.855

.269

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Ā EX1

.766

.413

.767

.411

.632

.486

.364

.824

-.101

-.020

.041

.380

.630

.495

-.061

.037

.029

.399

Ā EX2

.352

.876

.350

.878

.206

.393

.803

.427

.219

-.225

-.053

.804

.165

.477

.287

.027

.042

.798

Ā EX3

.789

.378

.790

.375

.659

.454

.360

.817

-.061

-.072

.091

.364

.661

.448

-.035

-.024

.043

.473

Ā EX4

.811

.342

.809

.345

.676

.486

.307

.834

.095

-.135

.045

.308

.683

.466

.090

-.075

.005

.378

Ā EX5

.790

.376

.788

.379

.742

.266

.379

.694

.096

.086

-.030

.378

.761

.236

.020

-.077

-.108

.490

Ā EX6

.730

.467

.728

.470

.755

.098

.420

.513

.135

.195

-.006

.462

.750

.109

.037

-.036

-.097

.509

Ā EX7

.763

.418

.764

.416

.741

.200

.411

.601

-.001

.206

.015

.419

.726

.228

-.039

.050

-.038

.492

Ā EX8

.818

.331

.820

.328

.702

.421

.330

.859

-.115

.014

.029

.310

.705

.423

-.096

-.007

-.013

.424

Mental distance

Ā Ā 

.782

.388

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Ā MD1

.751

.436

.744

.447

.767

.152

.389

.385

.291

.226

.002

.431

.775

.026

.151

-.041

-.102

.467

Ā MD2

.659

.566

.662

.561

.523

.370

.589

.047

.510

.140

.054

.589

.534

-.042

.367

-.012

-.012

.713

Ā MD3

.597

.644

.600

.640

.322

.728

.366

-.084

.835

-.117

.040

.400

.311

.089

.742

-.034

.054

.559

Ā MD4

.736

.459

.739

.453

.529

.527

.442

.050

.681

.050

.034

.440

.537

-.003

.513

-.055

-.017

.555

Ā MD5

.580

.663

.585

.658

.384

.527

.574

-.049

.646

.011

.066

.572

.362

.072

.544

.034

.068

.882

Cognitive impairment

Ā Ā 

.844

.287

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Ā CC1

.804

.353

.807

.349

.696

.377

.373

.050

.131

.737

-.040

.351

.683

.005

.059

.420

-.005

.401

Ā CC2

.860

.260

.863

.255

.756

.391

.276

.098

.101

.790

-.058

.251

.748

.000

.022

.427

-.028

.247

Ā CC3

.814

.338

.812

.341

.646

.515

.318

-.040

.014

.771

.094

.335

.650

-.019

-.020

.493

.102

.325

Ā CC4

.848

.282

.846

.284

.662

.573

.234

-.008

-.024

.849

.031

.268

.674

-.014

-.061

.531

.059

.235

Ā CC5

.696

.516

.692

.521

.561

.418

.510

-.030

-.089

.586

.245

.485

.573

-.037

-.102

.377

.187

.381

Emotional impairment

Ā Ā 

.818

.331

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Ā EC1

.775

.400

.774

.400

.590

.502

.400

.064

-.029

.037

.716

.407

.615

-.003

-.035

.052

.458

.368

Ā EC2

.822

.324

.822

.324

.631

.516

.336

.002

.081

.036

.751

.336

.657

-.041

.049

.041

.479

.326

Ā EC3

.601

.639

.601

.639

.436

.423

.631

-.013

.055

.006

.593

.623

.430

.071

.074

.114

.434

.695

Ā EC4

.768

.410

.769

.409

.624

.438

.418

.045

.084

.054

.657

.415

.648

-.034

.046

.032

.409

.411

Ā EC5

.760

.422

.760

.422

.540

.565

.389

.016

-.034

-.035

.809

.388

.560

.018

-.018

.058

.543

.360

  1. CFA Confirmatory factor analysis, ESEM Exploratory structural equation modelling, G Global factor, S Specific factor; target ESEM and Bifactor-ESEM factors loadings indicated in bold; non-significant parameters (pā€‰ā‰„ā€‰0.05) indicated in italics