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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