TABLE 3.

Estimated effects for intervention conditions vs. BAU control on self-regulation, mathematics, and literacy at post-test (N = 157).

Variable	Self-regulation				Math				Literacy
	β	SE	P-value	Cohen’s d	β	SE	P-value	Cohen’s d	β	SE	P-value	Cohen’s d
BAU versus Any Treatment
Pre-test Score	0.40	0.06	< 0.001		0.59	0.07	< 0.001		0.64	0.07	< 0.001
Age	0.35	0.05	< 0.001		0.15	0.05	0.004		0.06	0.10	0.534
ELL- Status	–0.09	0.08	0.246		–0.22	0.04	< 0.001		–0.13	0.09	0.172
Gender	–0.03	0.06	0.680		0.03	0.07	0.676		0.02	0.07	0.791
Parent Education	0.22	0.06	< 0.001		–0.05	0.05	0.374		0.01	0.13	0.924
Intervention a	0.09	0.07	0.082	0.31	0.14	0.05	0.003	0.38	0.01	0.05	0.401	0.03
BAU versus SR and SR+
Pre-test Score	0.39	0.07	< 0.001		0.60	0.06	< 0.001		0.62	0.07	< 0.001
Age	0.34	0.05	< 0.001		0.15	0.05	0.002		0.06	0.10	0.524
ELL-Status	–0.10	0.07	0.158		–0.22	0.04	< 0.001		–0.13	0.09	0.171
Gender	–0.02	0.06	0.695		0.03	0.07	0.657		–0.03	0.07	0.722
Parent Education	0.18	0.08	0.023		–0.07	0.05	0.215		0.03	0.13	0.816
Intervention
SRa	0.09	0.09	0.168	0.25	0.14	0.06	0.016	0.34	0.06	0.05	0.108	0.12
SR+a	0.11	0.07	0.066	0.32	0.17	0.06	0.004	0.38	–0.02	0.08	0.609	0.03

All estimates are from a path model accounting for missing data (estimator = FIML) and the nested data structure (robust clustered standard errors). ^aP-values for Intervention effects are one-tailed tests.