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Table 3 Test for invariance across gender and age using multi-group CFA

From: Standardization of the Colombian version of the PHQ-4 in the general population

 

χ2(df)

Δχ2

ΔP

CMIN/df

CFI

Δ CFI

RMSEA1

ΔRMSEA

Gender

        

Men

20.68 (1)

  

20.68

.98

 

.165

 

Women

11.49 (1)

  

11.497

.99

 

.116

 

Multigroup analysis

 

Configural model

32.18 (2)

  

16.09

.98

 

.100

 

Metric model

33.76 (4)

1.58

<.001

8.44

.98

.000

.070

.03

Scalar model

51.43 (8)

19.25

<.001

6.42

.98

.005

.060

.04

Age

        

≤48 years

9.55 (1)

  

9.55

.99

 

.106

 

>48 years

21.01 (1)

  

21.01

.98

 

.165

 

Multigroup analysis

        

Configural model

30.56 (2)

  

15.28

.98

 

.098

 

Metric model

33.37 (4)

2.81

<.001

8.34

.98

.000

.070

.02

Scalar model

49.89 (8)

19.33

<.001

6.23

.98

.005

.059

.03

  1. 1Models with fewer items and factors are associated with larger standard errors in RMSEA [36].