Table 3.

Model Comparison Fit Statistics

		−2ln(L)	df	χ2	Δdf	p	AIC
Drinking Amount and Income
	No-moderation	2809.13	1092				625.13
	Moderation	2794.83	1089	14.30	3	0.003	616.83
Drinking Amount and Education
	No-moderation	3361.61	1300				761.61
	Moderation	3339.41	1297	22.20	3	<0.001	745.41
Drinking Frequency and Income
	No-moderation	2865.69	1102				661.69
	Moderation	2863.32	1099	2.37	3	0.501	665.32
Drinking Frequency and Education
	No-moderation	3451.78	1313				825.78
	Moderation	3444.24	1310	7.54	3	0.057	824.24
Alcohol Problems and Income
	No-moderation	2992.76	1088				816.76
	Moderation	2990.36	1085	2.40	3	0.495	820.36
Alcohol Problems and Education
	No-moderation	3328.18	1208				912.18
	Moderation	3325.12	1205	3.06	3	0.382	915.12
Wave 2 Drinking Amount and Income
	No-moderation	1588.11	585				418.11
	Moderation	1581.71	582	6.40	3	0.094	417.71
Wave 2 Drinking Amount and Education
	No-moderation	2391.08	884				623.08
	Moderation	2376.82	881	14.26	3	0.003	614.82

Note. −2ln(L) = −2 log likelihood; df = degrees of freedom; χ2 = difference in −2ln(L) between no-moderation and moderation models; Δdf = difference in df between no-moderation and moderation models; p = probability value; AIC = Akaike Information Criterion. Smaller AIC values indicate better model fit.