Table 4.

Regression results for the single predictor simple linear regression analyses with the composite measures. Each β reflects a separate regression model.

	white vs. brown cake				white vs. brown car
	β*	SE*	t	p	β*	SE*	t	p
1. Comprehension	2.51	1.07	2.35	< .05	−1.39	0.59	−2.37	< .05
2. Decoding & fluency	2.79	1.06	2.64	< .05	−0.44	0.61	−0.73	.47
3. RAN	3.69	1.02	3.62	< .001	0.82	0.60	1.36	.18
4. Phonological skills	2.10	1.08	1.94	.06	−0.65	0.61	−1.08	.28
5. Print experience	1.13	1.10	1.02	.31	−0.42	0.61	−0.70	.49
6. Working memory	1.46	1.10	1.33	.19	−0.47	0.61	−0.78	.44
7. Visuospatial memory	2.14	1.08	1.97	.05	0.32	0.61	0.53	.60
8. Matrix reasoning	2.48	1.07	2.31	< .05	−0.85	0.60	−1.41	.16
9. Saccade accuracy	1.62	1.09	1.48	.14	−0.16	0.61	−0.27	.79
10. Anti-sacc accuracy	1.87	1.09	1.72	.09	−0.37	0.61	−0.61	.54

Note.

^*β and SE values x 10⁻².