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. 2021 Nov 10;41(45):9361–9373. doi: 10.1523/JNEUROSCI.1111-21.2021

Table 2.

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

Experiment Measure/coefficient Effect
Linear
Quadratic
BF01
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.