Table 7.

Model fit statistics for the different models in the multivariate illustration

Model	Fit indeces
	AIC	BIC	LRT
1. ACE–A × E–A × C–het	6224.81	−4649.59	–
2. ACE–A × E–het	6224.32	−4651.93	2 vs. 1: χ2(1) = 1.50
3. ACE–het	6231.55	−4650.40	3 vs. 2: χ2(1) = 9.23
4. ACE–A × E	6222.475	−4661.181	4 vs. 2: χ2(4) = 6.158

For the AIC and BIC, best values are underlined. ‘A × E-A × E-A × C–het’ is the ACE–A × E-A × C model with heteroscedastic residual variances. The LRT concerns a likelihood ratio test between the models mentioned