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Table 4 Fit indices for the analyses testing longitudinal 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

Configural invariance

127.124

30

.982

-

.077

-

.015

Metric invariance

135.244

33

.980

.002

.077

0

.031

Scalar invariance

191.889

42

.971

.009

.082

.005

.033

Invariant uniquenesses*

232.535

48

.978

.007

.084

.002

.042

Invariant factor variances

237.569

51

.963

.015

.083

.001

.107

Invariant factor covariances

246.727

54

.963

0

.084

.001

.121

Invariant latent means

309.438

60

.954

.009

.085

.001

.122

  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|.