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Table 4 Fit indices for the confirmatory factor analysis

From: Psychometric properties of the patient assessment of chronic illness care measure: acceptability, reliability and validity in United Kingdom patients with long-term conditions

   Complete case data Complete case plus imputed data
  Criterion for ‘Good’ Fit Maximum likelihood Asymptotically distribution-free Maximum likelihood
N   1,846 1,846 2,040
χ 2 (d.f.) non-significant 3,535.3 (160)* 1,576.2 (160)* 3,895.3 (160)*
Inter-factor correlation   0.604 to 0.972 0.684 to 0.919 0.596 to 0.967
NFI ≥ .90 0.840 0.572 0.840
CFI ≥ .95 0.846 0.595 0.846
RMSEA < .08 0.107 0.069 0.107
SRMR < .08 0.068 0.092 0.068
  1. *All three chi-squared statistics indicate a lack of fit of their respective model; however, in large samples, even trivial differences in model fit often cause chi-squared to be significant.
  2. NFI. Normed Fit Index.
  3. CFI.Comparative Fit Index.
  4. RMSEA.Root Mean-Squared Error of Approximation.
  5. SRMR.Standardised Root Mean-Squared Residual.