Table A2.

Regression results for the single predictor simple linear regression analyses with all individual difference measures (i.e., not just the composites). Each β reflects a separate regression model.

	white vs. brown cake				white vs. brown car
	β*	SE*	t	p	β*	SE*	t	p
1. Reading GM	2.95	1.05	2.80	< .01	−1.01	0.60	−1.69	.09
2. Reading PIAT	1.09	1.10	0.99	.33	−1.37	0.59	−2.32	< .05
3. Reading SDRT	2.63	1.07	2.46	< .05	−0.69	0.60	−1.14	.26
4. Reading WJ	2.64	1.06	2.48	< .05	−1.16	0.59	−1.96	.05
5. Listening PIAT	1.72	1.09	1.58	.12	−1.30	0.59	−2.21	< .05
6. Listening WJ	2.62	1.07	2.46	< .05	−1.10	0.60	−1.85	.07
7. Vocab PPVT	1.82	1.09	1.67	.10	−1.52	0.58	−2.61	< .05
8. Vocab WASI	1.70	1.09	1.56	.12	−1.35	0.59	−2.30	< .05
9. Decoding W TOWRE	2.88	1.06	2.73	< .01	0.10	0.61	0.16	.87
10. Decoding W WJ	1.36	1.10	1.24	.22	−0.32	0.61	−0.52	.60
11. Decoding NW TOWRE	3.21	1.04	3.08	< .01	−0.33	0.61	−0.54	.59
12. Decoding NW WJ	2.20	1.08	2.04	< .05	−0.94	0.60	−1.57	.12
13. Fluency GORT	1.22	1.10	1.11	.27	−0.44	0.61	−0.73	.47
14. Fluency WJ	3.73	1.02	3.68	< .001	−0.39	0.61	−0.64	.52
15. RAN colors	2.70	1.06	2.55	< .05	1.34	0.59	2.27	< .05
16. RAN digits	3.94	1.00	3.92	< .001	0.39	0.61	0.64	.53
17. RAN letters	3.03	1.05	2.88	< .01	0.43	0.61	0.70	.48
18. Phonological awareness	1.64	1.09	1.50	.14	−0.81	0.60	−1.35	.18
19. Phonological memory	1.86	1.09	1.71	.09	−0.28	0.61	−0.46	.65
20. Print authors	1.25	1.10	1.14	.26	−0.75	0.60	−1.23	.22
21. Print magazines	0.71	1.11	0.64	.52	0.01	0.61	0.01	.99
22. Working memory	1.46	1.10	1.33	.19	−0.47	0.61	−0.78	.44
23. Visuospatial memory	2.14	1.08	1.97	.05	0.32	0.61	0.53	.60
24. Matrix reasoning	2.48	1.07	2.31	< .05	−0.85	0.60	−1.41	.16
25. Saccade accuracy	1.62	1.09	1.48	.14	−0.16	0.61	−0.27	.79
26. 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.