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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|.