Table 5.

Variance Components of the Cross-Classified Logistic Regression Models

Component	Parameter	Estimate	IUCC	df	χ2	p
Model 3: Extension Base Model (n = 355)
Between-1st-grade classrooms	τb00	0.2876	0.0802	55	50.74	> 0.500
Between-2nd-grade classrooms	τc00	0.0037	0.0010	104	89.40	> 0.500
Model 4: Extension using WIFA (n = 355)
Between-1st-grade classrooms	τb00	0.3158	0.0876	55	49.36	> 0.500
Between-2nd-grade classrooms	τc00	0.0041	0.0011	104	73.82	> 0.500
Model 5: Extension using WIFB (n = 355)
Between-1st-grade classrooms	τb00	0.4318	0.1160	55	53.44	> 0.500
Between-2nd-grade classrooms	τc00	0.0026	0.0007	104	71.67	> 0.500
Model 6: Extension using DA (n = 355)
Between-1st-grade classrooms	τb00	0.3258	0.0901	55	51.82	> 0.500
Between-2nd-grade classrooms	τc00	0.0025	0.0007	104	81.19	> 0.500
Model 7: Base Model using (n = 320)
Between-1st-grade classrooms	τb00	0.39912	0.1089	51	50.83	> 0.500
Between-2nd-grade classrooms	τc00	0.0013	0.0003	98	77.58	> 0.500
Model 8: Extension using RR (n = 320)
Between-1st-grade classrooms	τb00	0.4009	0.1087	51	50.83	> 0.500
Between-2nd-grade classrooms	τc00	0.0013	0.0004	98	77.50	> 0.500
Model 9: Extension using ORF (n = 320)
Between-1st-grade classrooms	τb00	0.2765	0.0776	51	46.95	> 0.500
Between-2nd-grade classrooms	τc00	0.001	0.0003	98	61.21	> 0.500

Note. IUCC = Intraunit correlation coefficient, τ_b00/(τ_b00 + τ_c00 + π²/3) and τ_b00/(τ_b00 + τ_c00 + π²/3).