TABLE 3.

Difference in Time condition between pre- and post-test during the music and video game interventions.

TEA-Ch subscores		Music intervention (n = 29)				Video game intervention (n = 29)
		p-value of ANOVA	p-value of ANCOVA			p-value of ANOVA	p-value of ANCOVA
			RCPM	ADHD-RS	RCPM + ADHD-RS		RCPM	ADHD-RS	RCPM + ADHD-RS
Selective/focused attention
s1	Sky Search Accuracy	0.001**	0.131	0.008**	0.01*	0.001**	0.131	0.007**	0.006**
s2	Sky Search Time per Target	0.001**	0.131	0.008**	0.01*	0.001**	0.131	0.007**	0.006**
s3	Sky Search Attention Score	0.001**	0.131	0.008**	0.01*	0.001**	0.131	0.007**	0.006**
Sustained attention
s4	Score! Accuracy	0.514	0.646	0.956	0.892	0.514	0.646	0.956	0.892
Attention control/switching
s5	Creature Counting Accuracy	< 0.001***	0.128	0.011*	0.011*	< 0.001***	0.797	0.011*	0.011*
s6	Creature Counting Speed	< 0.001***	0.003**	0.011*	0.011*	< 0.001***	0.797	0.011*	0.011*
Sustained-divided attention
s7	Sky Search DT Decrement	0.194	0.086	0.379	0.35	0.194	0.086	0.379	0.35

In this study, we applied ANOVA and ANCOVA using participants’ RCPM score, ADHD-RS score, and RCPM × ADHD-RS scores as covariates. Significant differences between pre- and post-test were found in both the music and video game interventions. Notably, the intervention effects were modulated by participants’ IQ traits; specifically, when controlling for RCPM score, “Creature Counting Speed” was facilitated by the music intervention but not by the video game intervention during attention control/switching. ***p < 0.001; **p < 0.01; *p < 0.05.