Table 2. Coefficients for Models Predicting Number of Standard Drinks using Multilevel Modeling.

	b	SE	eB	t	df	p	σ2	τ00	ICC
Unconditional (Null) Model							3.633	0.852	.190
Intercept (β00)	0.61	0.062	1.836	9.69	237	<.001
Final Model							2.726	0.940	.256
Weekday Intercept (π0)
Intercept (β00)	0.18	0.158	1.196	1.13	229	.258
Children (β01)	-0.17	0.160	0.846	-1.05	229	.294
Sex (i.e., male) (β02)	-0.29*	0.138	0.748	-2.10	229	.037
Employed (β03)	-0.02	0.138	0.984	-0.12	229	.907
Ethnicity (β04)	-0.14	0.151	0.873	-0.90	229	.370
Age (β05)	0.08*	0.039	1.088	2.17	229	.031
Social Expectancies (β06)	0.04*	0.016	1.044	2.67	229	.008
TR Expectancies (β07)	0.09*	0.038	1.089	2.22	229	.027
AUDIT (β08)	0.09**	0.012	1.092	7.62	229	<.001
Weekend Slope (π1)
Intercept (β10)	0.97**	0.107	2.636	9.08	229	<.001
Children (β11)	0.01	0.128	1.020	0.08	229	.938
Sex (i.e., male) (β12)	0.11	0.125	1.117	0.89	229	.375
Employed (β13)	0.06	0.115	1.063	0.53	229	.598
Ethnicity (β1)	0.03	0.130	1.031	0.24	229	.815
Age (β1)	-0.05	0.034	0.955	-1.34	229	.181
Social Expectancies (β16)	0.03*	0.013	1.034	2.55	229	.011
TR Expectancies (β17)	-0.05	0.030	0.951	-1.65	229	.100
AUDIT (β18)	-0.01	0.010	0.987	-1.24	229	.213
Holiday Slope (π2)
Intercept (β20)	0.79**	0.100	2.200	7.96	237	<.001
Variance Components
Random Effect	SD	Var.	df	χ2	p
Intercept (r0)	0.97**	0.940	130	1277.1	<.001
Weekend Slope (r1)	0.73**	0.537	130	455.1	<.001
Holiday Slope (r2)	0.71**	0.503	138	245.7	<.001
Level-1 (e)	1.65	2.726

Note. TR = Tension Reduction, AUDIT = Alcohol Use Disorder Identification Test (items 4-10 only), ICC = Intraclass correlation. e^B represents the exponentiation of the coefficient, also called the odds ratio. σ² and τ₀₀ represent the within-group and between-group variance components, respectively, used to calculate the ICC. Var. = variance.

^*p < .05,

^**p < .001