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Table 4 Fit Indices from Comparative Factor Analysis (CFA) and Invariance Analyses between Groups for the PHQ-9

From: Are comparisons of mental disorders between Chinese and German students possible? An examination of measurement invariance for the PHQ-15, PHQ-9 and GAD-7

 

χ2 (df)

CFI

RMSEA [90% CI]

SRMR

ΔCFI

Δχ2 (df)

model A. one-factor model

 German Students

147.851 (27)

.900

.104 [.088, .120]

.051

  

 Chinese Students

101.362 (27)

.951

.082 [.065, .099]

.038

  

model B. two-factor model

 German Students

63.070 (26)

969

.059 [.040, .077]

.033

 

84.781

 Chinese Students

91.453 (26)

.957

.078 [.061, .096]

.037

 

9.909, p > .001

Multiple groups CFA models

 Configural invariance

154.523 (52)

.962

.069 [.057, .082]

.035

  

 Metric invariance

229.833 (61)

.938

.082 [.071, .093]

.082

.024

75.310 (9)

 λ8 free

185.565 (60)

.954

.071 [.060, .083]

.064

.008

31.042 (8)

 λ8, λ1 free

174.288 (59)

.958

.069 [.057, .081]

.068

.004

19.765 (7)

 λ8, λ1, λ3 free

169.246 (58)

.959

.068 [.056, .080]

.061

.002

14.723 (6), p > .001

 Scale invariance

302.171 (65)

.913

.094 [.083, .105]

.085

.046

132.925 (7)

 τ8 free

216.478 (64)

.944

.076 [.065, .087]

.063

.015

47.232(6)

 τ8, τ4 free

191.586 (63)

.953

.070 [.059, .082]

.061

.006

22.340 (5)

 τ8, τ4, τ1 free

179.934 (62)

.957

.068 [.056, .079]

.061

.002

10.688 (4), p > .001

  1. Note. PHQ-9 = Patient Health Questionnaire-9 Depression Symptoms; Item 1 = ‘lack of interest’; item 3 = ‘sleep difficulties’; item 4 = ‘feeling tired or having little energy’; item 8 = ‘moving or speaking slowly, or fretful.’ All χ2 tests and Δχ2 were significant, p < .001