Table 6.

Hierarchical Linear Model (HLM) Analyses Predicting Spring Outcome Scores by Year and Condition, Controlling for Majority/Minority Status, Gender, Head Start Eligibility, Age, and Fall Score (Autoregression)

	EVT	Narr Comp	PALS- PWA	PALS- BSA	PALS-RA	Pretend	PP-DR	PP-DC	PP-IN	SR-IN	SR-ASS
Level 1	b	b	b	b	b	b	b	b	b	b	b
Pre-Post	22.86***	11.95**	8.68***	7.02*	2.77	11.74***	3.23**	1.05	4.58**	14.63***	3.08**
Maj/Min Statusa	.87	.44	−1.61*	−.38	−.84	−.20	−.09	−.26	−.40	0.56	−.31
Gender	−2.93*	−0.88	−.46	1.62	.61	.07	−.25	−.18	−.34	−1.31	.49
Head Startb	2.06	1.82	−.22	−1.08	1.53	−1.39*	−.69	.12	−.42	−2.87*	−.53
Age	2.03	1.22	−.50	.13	1.08	.65	.52	−.57**	.90*	0.52	.91*
Autoregression	.63***	.55***	.32**	.23t	.47***	.40***	.23**	.20**	.07	0.08	.05
Center d 1	−4.80	−2.79	1.26	−2.65	−1.56	−.40	−.23	.06	.48	−1.00	.23
Center d 2	−4.40	3.08	.40	−2.51	−2.31	−1.24	−.13	−.02	−.87	−0.36	1.11
Center d 3	−2.07	−2.22	.02	−1.79	−2.05	.66	−.43	.42	.76	−0.19	1.08
Center d 4	−1.86	−1.06	−.57	−2.44t	−1.74	−.32	−.1.20*	−.11	.71	−0.04	.20
Level 2
Year	.30	−0.32	0.38	.06	.16	−.29	−.29	−.18	.07	- †	- †
Condition	1.16	0.61	0.69*	1.02*	.40	.72*	−.29	.16	.39	2.43**	.32
Interaction Y/C	1.62	2.33**	0.30	1.36*	.84	−.36	−.52*	−.29	−.38	- †	- †
ICC (Fall)	.10	.10	.13	.13	.00	.11	.09	.13	.08	.21	.22
ICC (Spring)	.19	.40	.10	.18	.08	.18	.07	.04	.09	.24	.15
Residual
Level 1	46.13	24.86	5.67	11.43	11.71	6.26	3.27	1.49	4.04	10.15	2.02
Level 2	3.81	2.12	<.001	.03	.01	.01	.001	.21	1.72**	1.99*	.10

^aMajority/Minority status coded as 1= “Non-Minority” and 2 = “Minority”.

^bHead Start Eligibility coded as 1= “yes” and 2 = “no”.

^*p≤.05.

^**p<.01.

^***p<.001.

^†year 2 only.