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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]