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Table 3 Goodness-of-fit measures for OPQoL-brief measurement model. Confirmatory Factor Analysis for Model-1, Model-2 and Model-3

From: Assessing quality of life in older adults: psychometric properties of the OPQoL-brief questionnaire in a nursing home population

Fit MeasureModel-1 N = 181 13 itemsModel-2 N = 181 9 itemsModel-3 N = 181 8 items
χ2 Satorra Bentler236.35854.21331.547
p-value0.000010.0010.048
\( \frac{\chi^2}{df} \)Satorra Bentler3.33 (Df1 = 65)2.008 (Df = 27)1.58 (Df = 20)
RMSEA0.121 (CI: 0.104–0.137)0.074 (CI: 0.045–0.1030.056(CI: 0.005–0.092)
p-value (close fit test)0.0000010.0800.359
SRMR0.0940.0600.050
CFI0.760.930.97
TLI0.700.910.95
Average Variance extracted (AVE)0.3000.3240.340
\( \mathrm{pc}=\frac{{\left(\Sigma \uplambda \right)}^2}{\left[{\left(\Sigma \uplambda \right)}^2+\Sigma \left(\uptheta \right)\right]} \)0.840.800.80
  1. OPQoL Quality of Life measurement model. RMSEA Root Mean Square Error of Approximation. SRMS Standardized Root Mean Square Residual, CFI The Comparative Fit Index, TLI Tucker-Lewis Index, 1Df Degrees of freedom, ρc Composite reliability. Model-1: 13 items, Model-2: 9 items (items 6, 7, 10, 11 are dismissed). Model-3: 8 items (items 6, 7, 10, 11 and 12 are dismissed). Listwise N = 181