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. 2021 May 28;12:667235. doi: 10.3389/fpsyg.2021.667235

Table 3.

Fit indices for Cross-lagged Models at Baseline, Fixed across Time, and Fixed across Gender.

S-Bχ2 (df) p ΔS-Bχ2 (df) p CFI ΔCFI SRMR ΔSRMR RMSEA [90% CI] ΔRMSEA
Model 1
Baseline 263.545 (16) <0.001 0.977 0.021 0.085 [0.076, −0.094]
Fixed across time 279.953 (28) <0.001 12.792 (12) 0.384 0.976 0.001 0.021 0.000 0.065 [0.058, −0.072] 0.020
Fixed across gender 329.159 (68) <0.001 6.104 (12) 0.911 0.970 0.006 0.028 0.007 0.060 [0.053, −0.066] 0.005
Model 2
Baseline 272.412 (16) <0.001 0.976 0.021 0.086 [0.077, −0.095]
Fixed across time 287.206 (28) <0.001 11.766 (12) 0.465 0.976 0.000 0.022 0.001 0.065 [0.059, −0.072] 0.021
Fixed across gender 340.875 (68) <0.001 5.772 (12) 0.927 0.969 0.007 0.029 0.007 0.061 [0.055, −0.068] 0.004
Model 3
Baseline 256.818 (16) <0.001 0.976 0.021 0.084 [0.075, −0.093]
Fixed across time 270.874 (28) <0.001 12.127 (12) 0.435 0.976 0.000 0.022 0.001 0.063 [0.057, −0.070] 0.021
Fixed across gender 317.635 (68) <0.001 10.533 (12) 0.569 0.970 0.006 0.030 0.008 0.058 [0.052, −0.065] 0.005
Model 4
Baseline 266.017 (16) <0.001 0.976 0.021 0.085 [0.076, −0.094]
Fixed across time 279.873 (28) <0.001 11.990 (12) 0.446 0.976 0.000 0.022 0.001 0.065 [0.058, −0.072] 0.020
Fixed across gender 330.659 (68) <0.001 10.449 (12) 0.684 0.969 0.007 0.030 0.008 0.060 [0.053, −0.066] 0.005
Model 5
Baseline 294.173 (16) <0.001 0.973 0.025 0.090 [0.081, −0.099]
Fixed across time 309.897 (28) <0.001 10.370 (12) 0.584 0.972 0.001 0.026 0.001 0.068 [0.062, −0.075] 0.022
Fixed across gender 365.679 (68) <0.001 9.217 (12) 0.684 0.965 0.007 0.033 0.007 0.064 [0.057, −0.070] 0.004
Model 6
Baseline 304.812 (16) <0.001 0.972 0.025 0.091 [0.083, −0.101]
Fixed across time 321.220 (28) <0.001 10.972 (12) 0.531 0.971 0.001 0.026 0.001 0.070 [0.063, −0.077] 0.021
Fixed across gender 365.191 (68) <0.001 9.387 (12) 0.670 0.964 0.007 0.031 0.005 0.072 [0.065, −0.079] 0.002

S-Bχ2, Satorra-Bentler Chi-square; CFI, Comparative Fit Index; SRMR, Standardized Root Mean Square Residual; RMSEA, Root Mean Square Error of Approximation. While some changes in RSMEA (ΔRMSEA) are larger than 0.015, these changes point to an improvement of model fit in the constrained models. Increasing the degrees of freedom have indeed been found to result in smaller RMSEA values (Taasoobshirazi and Wang, 2016).