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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.