Table 2.

Fit Indices for GxE models examining child sex as an etiological moderator of child antisocial behavior, separately by informant

Model	-2lnL	df	AIC	BIC	SABIC	DIC
Teacher-reported AGG
Linear ACE moderation	4141.35	1539	1063.35	−3106.08	−662.41	−1691.84
No moderation	4188.25	1542	1104.25	−3092.73	−644.29	−1675.72
Teacher-reported RB
Linear ACE moderation	4162.45	1539	1084.45	−3095.54	−651.86	−1681.29
No moderation	4208.76	1542	1124.76	−3082.47	−634.04	−1665.47
Mother-reported AGG
Linear ACE moderation	5432.86	2022	1388.86	−4285.35	−1074.32	−2427.26
No moderation	5439.08	2025	1389.08	−4292.63	−1076.84	−2431.78
Mother-reported RB*
Linear ACE moderation	5273.58	2022	1231.58	−4363.99	−1152.96	−2505.89
No moderation	5290.84	2025	1240.84	−4366.75	−1150.95	−2505.90

Note. The best fitting model for a given set of analyses is highlighted in bond font, and is indicated by the lowest AIC (Akaike’s Information Criterion), BIC (Bayesian Information Criterion), SABIC (sample size adjusted Bayesian Information Criterion), and DIC (Deviance Information Criterion) values for at least 3 of the 4 fit indices.

^*for mother-reported RB, neither model provided a clear improvement in fit. In this case, we made use of the significant change in χ² (computed by comparing the -2lnL and change in df) as a tie-breaker. We thus conclude that the linear ACE moderation model provides a marginally better fit to the data.