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Table 5 Goodness of fit for confirmatory factor analyses of different samples and multiple-group equivalence conditions

From: Quality of life of Chinese urban community residents: a psychometric study of the mainland Chinese version of the WHOQOL-BREF

  χ 2 df RMSEA NNFI CFI
I. Global Normative (N = 5133)a 6830.8 246 0.07 -- 0.863
   Chronic Illness sample (N = 3313) 3736.9 246 0.07 -- 0.876
   Nonchronic Illness sample (N = 3862) 4991.3 246 0.07 -- 0.868
II. Chinese (N = 1052 without correlated uniqueness) 2401 246 0.101 0.866 0.880
III. Chinese (N = 1052 with correlated uniqueness) 1836 244 0.088 0.898 0.909
   Chronic Illness sample (N = 229) 630 244 0.088 0.841 0.860
   Nonchronic Illness sample (N = 823) 1471 244 0.089 0.906 0.917
IV. Chinese: Multiple Group analyses (Chronic Illness vs. Nonchronic illness Samples (N = 1052))
   No invariant constraints 2101 488 0.089 0.897 0.909
   Loading invariant 2162 512 0.087 0.900 0.907
   Loading + factor covariance invariant 2166 518 0.087 0.901 0.907
   Loading + factor covariance + uniqueness invariant 2215 544 0.086 0.904 0.905
   Mean Structure Model with intercept invariance 2327 564 0.086 0.902 0.900
  1. RMSEA--Root mean square error approximation; NNFI--Non-Normed Fit Index; CFI--Comparative Fit Index;
  2. anormative data [9]