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Table 1. 
Statistical Results of the Behavioral Age Group Analyses
MeasureEffectsAge Group: Adolescents, AdultsAge Group: Younger Adolescents, Older Adolescents, Adults
OT trials: Run (Uncontaminated, Color, Knight) × Age Group 
Accuracy Age group F(1, 45) = 7.3, p = .01, ηG2 = .11a F(2, 44) = 3.7, p = .03, ηG2 = .12a 
Run [F(1.5, 67.4) = 1.6, p = .33] [F(1.5, 66.1) = 0.8, p = .43] 
Age Group × Run [F(1.5, 67.4) = 0.5, p = .55] [F(3, 66.1) = 0.4, p = .76] 
RT Age group [F(1, 45) = 2.6, p = .11] [F(2, 44) = 1.5, p = .25] 
Run F(1.2, 51.6) = 96.1, p < .001, ηG2 = .31 F(1.2, 50.4) = 102.2, p < .001, ηG2 = .33 
Age Group × Run [F(1.5, 51.6) = 1.3, p = .26] [F(2.3, 50.4) = 0.9, p = .44] 
  
Run (Color, Knight) × Trial Type (OT, PM) × Age Group 
Accuracy Age group F(1, 45) = 8.9, p = .005, ηG2 = .06a F(2, 44) = 6.9, p < .002, ηG2 = .09a 
Trial type F(1, 45) = 135.4, p < .001, ηG2 = .43 F(1, 44) = 148.5, p < .001, ηG2 = .44 
Age Group × Trial Type [F(1, 45) = 1.4, p = .25] F(2, 44) = 4.2, p = .02, ηG2 = .04 
Run [F(1, 45) = 2.9, p = .10] [F(1, 44) = 2.9, p = .09] 
Age Group × Run [F(1, 45) < 0.1, p = .86] [F(2, 44) < 0.1, p = .98] 
Trial Type × Run [F(1, 45) = 2.0, p = .25] [F(1, 44) = 2.0, p = .17] 
Age Group × Run × Trial Type [F(1, 45) < 0.1, p = .97] [F(2, 44) < 0.1, p = .99] 
RT Age group F(1, 45) = 4.5, p = .04, ηG2 = .07b [F(1, 44) = 2.6, p = .09] 
Trial type F(1, 45) = 183.1, p < .001, ηG2 = .17 F(1, 44) = 200.1, p < .0001, ηG2 = .18 
Age Group × Trial Type F(1, 45) = 5.5, p = .02, ηG2 = .006a F(2, 44) = 4.2, p = .02, ηG2 = .009a 
Run F(1, 45) = 59.9, p < .001, ηG2 = .19 F(1, 44) = 61.9, p < .001, ηG2 = .21 
Age Group × Run [F(1, 45) = 0.7, p = .41] [F(2, 44) = 0.3, p = .71] 
Trial Type × Run F(1, 45) = 12.8, p < .001, ηG2 = .008 F(1, 44) = 9.9, p = .003, ηG2 = .006 
Age Group × Run × Trial Type [F(1, 45) = 0.2, p = .64] [F(2, 44) = 1.3, p = .30] 
MeasureEffectsAge Group: Adolescents, AdultsAge Group: Younger Adolescents, Older Adolescents, Adults
OT trials: Run (Uncontaminated, Color, Knight) × Age Group 
Accuracy Age group F(1, 45) = 7.3, p = .01, ηG2 = .11a F(2, 44) = 3.7, p = .03, ηG2 = .12a 
Run [F(1.5, 67.4) = 1.6, p = .33] [F(1.5, 66.1) = 0.8, p = .43] 
Age Group × Run [F(1.5, 67.4) = 0.5, p = .55] [F(3, 66.1) = 0.4, p = .76] 
RT Age group [F(1, 45) = 2.6, p = .11] [F(2, 44) = 1.5, p = .25] 
Run F(1.2, 51.6) = 96.1, p < .001, ηG2 = .31 F(1.2, 50.4) = 102.2, p < .001, ηG2 = .33 
Age Group × Run [F(1.5, 51.6) = 1.3, p = .26] [F(2.3, 50.4) = 0.9, p = .44] 
  
Run (Color, Knight) × Trial Type (OT, PM) × Age Group 
Accuracy Age group F(1, 45) = 8.9, p = .005, ηG2 = .06a F(2, 44) = 6.9, p < .002, ηG2 = .09a 
Trial type F(1, 45) = 135.4, p < .001, ηG2 = .43 F(1, 44) = 148.5, p < .001, ηG2 = .44 
Age Group × Trial Type [F(1, 45) = 1.4, p = .25] F(2, 44) = 4.2, p = .02, ηG2 = .04 
Run [F(1, 45) = 2.9, p = .10] [F(1, 44) = 2.9, p = .09] 
Age Group × Run [F(1, 45) < 0.1, p = .86] [F(2, 44) < 0.1, p = .98] 
Trial Type × Run [F(1, 45) = 2.0, p = .25] [F(1, 44) = 2.0, p = .17] 
Age Group × Run × Trial Type [F(1, 45) < 0.1, p = .97] [F(2, 44) < 0.1, p = .99] 
RT Age group F(1, 45) = 4.5, p = .04, ηG2 = .07b [F(1, 44) = 2.6, p = .09] 
Trial type F(1, 45) = 183.1, p < .001, ηG2 = .17 F(1, 44) = 200.1, p < .0001, ηG2 = .18 
Age Group × Trial Type F(1, 45) = 5.5, p = .02, ηG2 = .006a F(2, 44) = 4.2, p = .02, ηG2 = .009a 
Run F(1, 45) = 59.9, p < .001, ηG2 = .19 F(1, 44) = 61.9, p < .001, ηG2 = .21 
Age Group × Run [F(1, 45) = 0.7, p = .41] [F(2, 44) = 0.3, p = .71] 
Trial Type × Run F(1, 45) = 12.8, p < .001, ηG2 = .008 F(1, 44) = 9.9, p = .003, ηG2 = .006 
Age Group × Run × Trial Type [F(1, 45) = 0.2, p = .64] [F(2, 44) = 1.3, p = .30] 

Nonsignificant effects are put in square brackets.

a

Effect remained significant when forward digit score, backward digit score, no-go accuracy, or future orientation score was included as a centered covariate.

b

Effect became nonsignificant when forward digit score, backward digit score, no-go accuracy, or future orientation score was included as a centered covariate.

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