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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|.