Table 2.

Age and mean univariate effects from behavioral multiple regression with RT variability

Experiment	Measure/coefficient		Effect		Linear		Quadratic		BF01
Experiment	Measure/coefficient		F (R²)	p	t (β)	p	t (β)	p
Sensorimotor	In-scanner	Full model	9.44 (1.69)	<0.0001
		Ipsilateral			−0.53 (−0.02)	0.596
		Age	22.9 (3.61)	<0.0001	6.66 (5.44)	<0.0001	0.67 (0.53)	0.5
		Ipsilateral* age	0.07 (0.01)	0.932					3.85
	Out-of-scanner	Full model	20.7 (3.24)	<0.0001
		Ipsilateral			0.16 (0.005)	0.873
		Age	49.6 (7.84)	<0.0001	9.37 (6.31)	<0.0001	3.18 (2.1)	0.002
		Ipsilateral* age	0.49 (0.09)	0.612					7.4
Free selection	In-scanner	Full model	11.3 (12.2)	<0.0001
		Ipsilateral			−0.75 (−0.07)	0.457
		Age	22.5 (23)	<0.0001	6.59 (5.61)	<0.0001	1.02 (0.87)	0.319
		Ipsilateral* age	0.36 (0.49)	0.698					4.68
	Out-of-scanner	Full model	6.95 (7.84)	<0.0001
		Ipsilateral			0.65 (0.05)	0.512
		Age	10.4 (12.2)	0.0001	4.4 (3.68)	<0.0001	0.47 (0.41)	0.641
		Ipsilateral* age	1.15 (1.44)	0.321					3.27

Degrees of freedom for experiment 1: full model F_(5,580), age effects/interactions F_(2,580) and t₍₅₈₀₎; experiment 2: full model F_(5,75), age effects/interactions F_(2,75) and t₍₇₅₎. Boldface indicates p < 0.05 or Bayes factors > 3. See Table 1 for effect size conventions. Asterisks refer to interactions.