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. 2022 Apr 27;18:100456. doi: 10.1016/j.ynstr.2022.100456

Table 3.

Model fit comparison for covariate variables with CBCL change score outcomes.

Model AIC BIC Adjust BIC Chi-square RMSEA CFI SRMR
Left Amygdala Subnuclei
Model 1 1370.58 1446.25 1320.73 .17 .22 .98 .06
Model 2 1420.93 1515.52 1358.62 .02 .04 .94 .05
Right Amygdala Subnuclei
Model 1 1351.14 1426.81 1301.29 .06 .08 .96 .08
Model 2 1403.38 1497.97 1341.07 .01 .02 .93 .07
Left Hippocampus Subfields
Model 1 1033.15 1148.55 957.13 .21 .26 .99 .05
Model 2 1087.37 1225.48 996.40 .01 .02 .96 .05
Right Hippocampus Subfields
Model 1 1001.18 1116.59 925.16 .13 .17 .99 .07
Model 2 1055.19 1193.29 964.22 .02 .04 .97 .08

Note. Model 1 = mediation model (MM) with age at time of MRI scan and total intracranial volume (TIV) – TIV was only a covariate for the respective brain volume (i.e., left amygdala, right amygdala, left hippocampus, right hippocampus); Model 2 = MM model with sex, age, TIV as covariates. AIC = Akaike's Information Criterion, BIC = Bayesian Information Criterion, RMSEA = root mean square error of approximation, SRMR = standardized root mean square residual, CFI = comparative fit index.