Table 5.

Regression results for the multiple predictor linear regression analyses with the composite measures. The βs for white vs. brown cake reflect one regression model, and the βs for white vs. brown car reflect a second regression model.

	white vs. brown cake				white vs. brown car
	β*	SE*	t	p	β*	SE*	t	p
(Intercept)	5.62	1.06	5.32	< .001	4.79	0.59	8.18	< .001
Comprehension	0.99	2.15	0.46	.65	−2.54	1.19	−2.13	< .05
Decoding & fluency	−0.72	2.15	−0.33	.74	−0.25	1.19	−0.21	0.83
RAN	2.99	1.40	2.13	< .05	1.63	0.78	2.09	< .05
Phonological skills	−0.10	1.77	−0.06	.96	0.43	0.98	0.44	.66
Print experience	0.45	1.41	0.32	.75	0.76	0.78	0.98	.33
Working memory	0.02	1.36	0.02	.99	0.21	0.76	0.28	.78
Visuospatial memory	0.85	1.29	0.66	.51	0.59	0.72	0.83	.41
Matrix reasoning	0.66	1.60	0.41	.68	−0.16	0.89	−0.18	.86
Saccade accuracy	0.55	1.16	0.47	.64	−0.19	0.64	−0.3	.77
Anti-sacc accuracy	0.51	1.17	0.43	.67	−0.46	0.65	−0.72	.48

Note.

^*β and SE values x 10⁻².