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Table 4 Factor loadings and measures of global fit for the ML- and WLSMV-estimates of the models assuming between-item-multidimensionality (BIM); 1-, 2-, 3-DIM = one-, two- and three-dimensional model specification

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

 

1-DIM

2-DIM

2-DIMMOD

3-DIM

ML

WLSMV

ML

WLSMV

ML

WLSMV

ML

WLSMV

Items

  

PH

MH

PH

MH

PH

MH

PH

MH

PH

OH

MH

PH

OH

MH

PF

.8491

.9121

.882

.912

.878

.919

.8861

.9571

PR

.875

.942

.9101

.9421

.8991

.9531

.913

.962

BP

.773

.808

.778

.808

.783

.821

.778

.835

GH

.624

.679

.600

.679

.614

.691

.6901

.7301

VT

.689

.759

.676

.789

.675

.776

.7781

.8211

SF

.718

.825

.794

.853

.805

.870

.8041

.8701

MH

.690

.831

.7901

.8511

.8061

.8641

.809

.863

RE

.757

.855

.814

.889

.822

.908

.820

.980

rPH, MH

  

.812

.853

.836

.872

.821

.866

rPH,OH | rMH,OG

      

.889 | .843

.906 | .891

χ2

1312.99

1303.82

582.69

730.83

509.44

622.15

254.97

248.68

df

20

20

19

19

19

19

17

17

TLI

.855

.962

.934

.978

.942

.981

.981

.992

CFI

.897

.973

.955

.985

.961

.987

.969

.995

RMSEA (90%-CI)

[.152; .155; .167]

[.152; .159; .166]

[.101; .108; .116]

[.114; .122; .129]

[.093; .101; .108]

[.104; .112; .119]

[.066; .074; .082]

[.065; .073; .081]

SRMR

.050

.038

.045

.026

.035

.024

.022

.014

BIC

44,940.79

44,218.33

44,145.09

43,906.30

  1. 1Unstandardized coefficients restricted (value = 1) to ensure identifiability; PH Physical Health, MH Mental Health, OH Overall Health, rx,y latent correlation of the factors X and Y