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Table 5 Factor loadings and global fit measures for the for the ML- and WLSMV estimates of the bifactor-models assuming within-item-multidimensionality (WIM; all factor assumed to be uncorrelated)

From: Confirmatory and bi-factor analysis of the Short Form Health Survey 8 (SF-8) scale structure in a German general population sample

Items

Bi-factor 2-DIMMOD

Bi-factor 3-DIM

ML

WLSMV

ML

WLSMV

 

GEN

PH

MH

R2

GEN

PH

MH

R2

GEN

PH

OH

MH

R2

GEN

PH

OH

MH

R2

PF

.8411

.212

.752

.8731

.289

.846

.7921

.405

.791

.8411

.393

.861

PR

.881

.3591

.905

.908

.3711

.963

.821

.4111

.843

.873

.4231

.942

BP

.772

.068

.601

.808

.155

.653

.764

.216

.604

.790

.234

.678

GH

.658

 −.190

.470

.710

 −.093

.513

.639

.2551

.474

.698

.2241

.538

VT

.742

 −.257

.616

.821

 −.206

.716

.713

.2971

.596

.786

.2241

.668

SF

.669

.428

.631

.762

.401

.741

.701

.367

.626

.789

.3371

.736

MH

.631

.6081

.768

.735

.5661

.861

.668

.5821

.786

.761

.555

.887

RE

.715

.351

.635

.814

.401

.767

.749

.282

.641

.843

.251

.774

χ2

81.90

71.07

126.34

92.38

df

12

12

13

13

TLI

.987

.997

.981

.996

CFI

.994

.999

.991

.998

RMSEA (90%-CI)

[.038; .048; .058]

[.034; .044; .054]

[.049; .059; .068]

[.040; .049; .059]

SRMR

.011

.001

.013

.001

BIC

43,772.44

43,809.03

  1. 1Unstandardized coefficients restricted (value = 1) to ensure identifiability; PH Physical Health, MH Mental Health, OH Overall Health