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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