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. 2021 Feb 22;52(15):3472–3483. doi: 10.1017/S0033291721000131

Table 2.

Loadings, correlation with sum score and fit indices of the three latent variable models in the calibration sample

Unidimensional model Two-dimensional model Bi-factor model
Item Cognitive-affective Somatic factor General factor Cognitive-affective Somatic factor
Loadings PHQ-9 1 0.88 (0.01) 0.86 (0.01) 0.84 (0.01) 0.11 (0.02)
PHQ-9 2 0.91 (0.01) 0.89 (0.01) 0.88 (0.01) 0.35 (0.03)
PHQ-9 3 0.70 (0.03) 0.67 (0.01) 0.60 (0.01) 0.33 (0.02)
PHQ-9 4 0.81 (0.02) 0.82 (0.01) 0.73 (0.01) 0.34 (0.02)
PHQ-9 5 0.73 (0.03) 0.72 (0.01) 0.64 (0.01) 0.33 (0.02)
PHQ-9 6 0.85 (0.02) 0.81 (0.01) 0.79 (0.01) 0.17 (0.03)
PHQ-9 7 0.81 (0.02) 0.75 (0.01) 0.77 (0.01) −0.18 (0.03)
PHQ-9 8 0.77 (0.02) 0.72 (0.01) 0.75 (0.01) −0.28 (0.03)
PHQ-9 9 0.82 (0.02) 0.76 (0.01) 0.75 (0.01) 0.12 (0.03)
correlation with PHQ-9 Sum Score 0.97 0.97 0.97 0.97 0.18 0.42
Model Fit Robust chi-square 3447.80 2971.95 2720.10
Degree of freedom 1186 1185 1158
p value <0.001 <0.001 <0.001
CFI 0.940 0.953 0.959
RMSEA
(95% CI)
0.092
(0.088; 0.095)
0.082
(0.078; 0.085)
0.077
(0.073; 0.081)
SRMR 0.083 0.100 0.097

CFI: comparative fit index, RMSEA: root mean square error of approximation, SRMR: standardized root mean square residual.