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Table 3 Fit indices for the analyses testing sex invariance for the intercorrelated three-factor model

From: Measurement invariance of the depressive symptoms scale during adolescence

Model

χ2

df

CFI

|∆CFI|

RMSEA

|∆RMSEA|

SRMR

Time 1

       

Configural invariance

14.287

12

.997

-

.027

-

.025

Metric invariance

16.354

15

.998

.001

.019

.005

.030

Scalar invariance

26.507

18

.989

.009

.033

.017

.030

Invariant uniquenesses

28.011

24

.995

.006

.025

.008

.035

Invariant factor variances

35.900

27

.988

.003

.035

.010

.053

Invariant factor covariances

41.375

30

.984

.004

.038

.003

.053

Invariant latent means

49.462

33

.976

.008

.044

.006

.054

Time 2

       

Configural invariance

23.184

12

.995

-

.059

-

.016

Metric invariance

23.881

15

.995

0

.063

.004

.018

Scalar invariance

46.069

18

.986

.009

.077

.014

.032

Invariant uniquenesses

74.244

24

.972

.014

.089

.012

.044

Invariant factor variances

83.204

27

.970

.002

.089

0

.093

Invariant factor covariances

86.952

30

.969

.001

.085

.004

.088

Invariant latent means*

140.193

33

.940

.029

.111

.026

.096

Time 3

       

Configural invariance

15.308

12

.998

-

.032

-

.023

Metric invariance

15.716

15

1.00

.002

.018

.014

.023

Scalar invariance

23.941

18

.997

.003

.036

.018

.025

Invariant uniquenesses*

68.818

24

.977

.020

.084

.048

.059

Invariant factor variances

72.597

27

.977

0

.080

.004

.063

Invariant factor covariances

90.318

30

.969

.008

.088

.008

.070

Invariant latent means*

181.294

33

.923

.046

.131

.043

.067

  1. Note. χ2 = Chi-square; df = degrees of freedom; RMSEA = root mean square error of approximation; CFI = confirmatory fit index; SRMR = standardized root mean squared of the residuals.
  2. *indicates statistically significant difference between nested models based on ∆CFI > |.010| supplemented by a ∆RMSEA > |.015|.