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Table 3 Factor loadings and global fit measures for the for the ML- and WLSMV estimates of the Full 2-DIM WIM-model and the Restricted 2-DIM WIM-model according to Ware et al. [8]

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

Items

Full 2-DIM WIM-model

Restricted 2-DIM WIM-model

ML

WLSMV

ML

WLSMV

 

PHfull

MHfull

R2

PHfull

MHfull

R2

PHres

MHres

R2

PHres

MHres

R2

PF

.753

.482

.799

.749

.560

.874

.886

.785

.926

.857

PR

.7431

.525

.827

.7491

.600

.921

.9101

.827

.9621

.925

BP

.593

.496

.593

.593

.569

.676

.780

.608

.833

.695

GH

.382

.479

.376

.395

.560

.470

.370

.278

.377

.400

.315

.469

VT

.409

.543

.462

.412

.649

.590

.371

.350

.465

.367

.435

.589

SF

.256

.749

.627

.266

.816

.737

.802

.644

.868

.754

MH

.104

.8701

.768

.130

.9151

.853

.8081

.653

.8611

.741

RE

.334

.723

.634

.351

.800

.764

.819

.671

.906

.821

rPH,MH

.000

.000

.789

.839

χ2

215.52

263.66

363.26

416.67

df

12

12

17

17

TLI

.962

.995

.954

.986

CFI

.984

.988

.972

.992

RMSEA (90%-CI)

[.072; .082; .091]

[.080; .089; .098]

[.082; .089; .098]

[.088; .096; .104]

SRMR

.022

.013

.028

.017

BIC

43,804.39

44,014.59

43,809.03

  1. 1Unstandardized coefficients restricted (value = 1) to ensure identifiability; PH Physical Health, MH Mental Health, OH Overall Health, rPH,MH latent correlaton of the factors PH and MH