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Table 2.

Results of Multiple Regression Assessing Predictors of Individual Differences in Science and Math Reasoning Overall, and in Science and Math Counterintuitive Reasoning Specifically, Controlling for Performance in Control Trials

	Predictor	β	t	p
DV: Science & Math Acc.
F(4, 29) = 15.20, p < .001, R² = 63.2%, ΔR² = 45.4% (vs. model with age only)	Age	.497	4.67	< .001
	g	.422	3.67	< .001
	Complex no-go acc.	.257	2.33	.027
	WASI Vocabulary^a	.260	2.21	.035

DV: Science & Math RT
F(2, 31) = 4.95, p = .014, R² = 19.3%, ΔR² = 21.8% (vs. model with age only)	Age	−.117	0.75	.460
	g	−.487	3.11	.004

DV: Counterintuitive Trials Acc.
F(3,30) = 10.76, p < .001, R² = 47.0%, ΔR² = 6.6% (vs. model with age and control acc.)	Age	.401	2.94	.006
	Control trials acc.	.344	2.34	.026
	WASI Vocabulary^a	.312	2.21	.035

DV: Counterintuitive Trials RT
F(2,31) = 52.08, p < .001, R² = 75.6%	Age	.024	0.28	.780
F(2,31) = 52.08, p < .001, R² = 75.6%	Control trials RT	.880	10.18	< .001

	Predictor	β	t	p
DV: Science & Math Acc.
F(4, 29) = 15.20, p < .001, R² = 63.2%, ΔR² = 45.4% (vs. model with age only)	Age	.497	4.67	< .001
	g	.422	3.67	< .001
	Complex no-go acc.	.257	2.33	.027
	WASI Vocabulary^a	.260	2.21	.035

DV: Science & Math RT
F(2, 31) = 4.95, p = .014, R² = 19.3%, ΔR² = 21.8% (vs. model with age only)	Age	−.117	0.75	.460
	g	−.487	3.11	.004

DV: Counterintuitive Trials Acc.
F(3,30) = 10.76, p < .001, R² = 47.0%, ΔR² = 6.6% (vs. model with age and control acc.)	Age	.401	2.94	.006
	Control trials acc.	.344	2.34	.026
	WASI Vocabulary^a	.312	2.21	.035

DV: Counterintuitive Trials RT
F(2,31) = 52.08, p < .001, R² = 75.6%	Age	.024	0.28	.780
F(2,31) = 52.08, p < .001, R² = 75.6%	Control trials RT	.880	10.18	< .001

Standardized score.

Acc. = accuracy. We report adjusted R² and change in adjusted R² (ΔR²) between models.

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