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

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

Fit Measure	Model-1 N = 181 13 items	Model-2 N = 181 9 items	Model-3 N = 181 8 items
χ² Satorra Bentler	236.358	54.213	31.547
p-value	0.00001	0.001	0.048
\( \frac{\chi^2}{df} \)Satorra Bentler	3.33 (Df¹ = 65)	2.008 (Df = 27)	1.58 (Df = 20)
RMSEA	0.121 (CI: 0.104–0.137)	0.074 (CI: 0.045–0.103	0.056(CI: 0.005–0.092)
p-value (close fit test)	0.000001	0.080	0.359
SRMR	0.094	0.060	0.050
CFI	0.76	0.93	0.97
TLI	0.70	0.91	0.95
Average Variance extracted (AVE)	0.300	0.324	0.340
\( \mathrm{pc}=\frac{{\left(\Sigma \uplambda \right)}^2}{\left[{\left(\Sigma \uplambda \right)}^2+\Sigma \left(\uptheta \right)\right]} \)	0.84	0.80	0.80

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

ISSN: 1477-7525