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. 2021 Apr 19;29(6):1248–1261. doi: 10.1177/10731911211009312

Table 3.

Fits for Gender Invariance Tests.

Model Fit Fit difference versus baseline Δχ2 Difference test
CFI RMSEA SRMR ΔCFI ΔRMSEA ΔSRMR Δχ2 df p Link to full model output
Age 5
Configural .928 .024 .072 https://osf.io/hszgc/
Metric .930 .023 .072 −.002 . 001 .000 46.688 20 <.001 https://osf.io/yu43a/
Scalar .932 .023 .072 −.002 .000 .000 40.678 20 .004 https://osf.io/k9sb4/
Residual .935 .002 .073 −.003 .021 −.001 72.826 25 <.001 https://osf.io/jt2vz/
Age 7
Configural .931 .026 .066 https://osf.io/29zwj/
Metric .933 .026 .066 −.002 .000 .000 30.663 20 .0598 https://osf.io/y4xh6/
Scalar .930 .026 .068 .003 .000 −.002 240.646 20 <.001 https://osf.io/smjxc/
Residual .932 .025 .068 −.002 .001 .000 83.181 25 <.001 https://osf.io/5wp2e/
Age 11
Configural .913 .025 .063 https://osf.io/wfn56/
Metric .924 .023 .063 −.009 .002 .000 36.222 20 .0145 https://osf.io/aw2zh/
Scalar .935 .021 .063 −.011 .002 .000 35.816 20 .0162 https://osf.io/9h7qp/
Residual .943 .019 .064 −.008 .002 −.001 37.612 25 .0504 https://osf.io/bp6dy/
Age 14
Configural .938 .029 .069 https://osf.io/v9keb/
Metric .939 .028 .070 −.001 .001 −.001 78.444 20 <.001 https://osf.io/dr6fz/
Scalar .940 .027 .070 −.001 .001 .000 52.655 20 <.001 https://osf.io/nt5h7/
Residual .945 .026 .070 −.005 .001 .000 30.474 25 .2070 https://osf.io/kx27m/

Note. Metric invariance criteria were that it holds if comparative fit index (CFI) decreases by no more than .010, if root mean square error of approximation (RMSEA) increases by no more than .015, and if standardized root mean square residual (SRMR) increases by no more than .030; scalar invariance criteria were that it holds if CFI decreases by no more than .010, if RMSEA increases by no more than .015, and SRMR increases by no more than .010; residual invariance criteria were that it holds if CFI decrease by no more than .010, RMSEA decreases by no more than .015 and SRMR decreases by no more than .010.