Table 2.

Univariate analysis of covariance testing for effects of diagnosis and interactions with sex on task measures.

	Control Boys (n = 29)	Control Girls (n = 11)	ADHD Boys (n = 18)	ADHD Girls (n = 8)	Diagnosis	Diagnosis x Sex
	Mean (SD)	Mean (SD)	Mean (SD)	Mean (SD)	p (d)	p (d)
Real-time Discounting AUC	.58(.16)	.60(.15)	.55(.15)	.41(.05)	.013(.65)	.050(.51)
Classic Discounting AUC	.47(.32)	.36(.27)	.41(.29)	.35(.15)	.841(.05)	.588(.14)
CogLoadΔCom	.03(.20)	-.04(.21)	.01(.25)	.06(.16)	.440(.20)	.978(.01)
MotivationΔCom	.13(.18)	.14(.16)	.20(.21)	.21(.23)	.154(.37)	.309(.26)

Notes: The WISC-IV General Ability Index (GAI) was included as a covariate in the model. Control = typically developing controls; ADHD = attention-deficit/hyperactivity disorder; AUC = area under the curve; CogLoadΔCom = complex go/no-go commission error rate – standard go/no-go commission error rate (more positive number indicates greater increase in commission errors with greater cognitive load); MotivationΔCom = standard go/no-go commission error rate – motivational go/no-go commission error rate (more positive number indicates greater reduction in commission errors with motivational contingencies). d = Cohen’s d effect size estimate.