Table 3.

Cross-sectional regression analyses for Internet addiction.

Model	Predictors	Internet Addiction (Wave 1)					Internet Addiction (Wave 2)
		β	t	Cohen’s f2	R2 Change	F Change	β	t	Cohen’s f2	R2 Change	F Change
1	Age	0.07	3.77 ***	0.005	0.040	35.54 ***	0.05	2.47 *	0.002	0.014	12.26 ***
	Gender a	−0.16	−8.30 ***	0.026			−0.09	−4.73 ***	0.009
	Family intactness b	0.08	4.22 ***	0.007			0.05	2.5 *	0.002
2	CBC	−0.25	−13.33 ***	0.066	0.062	178.20 ***	−0.27	−14.06 ***	0.076	0.070	197.64 ***
	PA	−0.21	−10.98 ***	0.045	0.043	120.51 ***	−0.21	−11.09 ***	0.047	0.045	123.06 ***
	GPYD	−0.30	−16.22 ***	0.097	0.089	263.19 ***	−0.31	−16.69 ***	0.106	0.096	278.60 ***
	PIT	−0.26	−13.89 ***	0.072	0.067	192.96 ***	−0.28	−14.72 ***	0.083	0.077	216.59 ***
	TPYD	−0.30	−16.10 ***	0.096	0.088	259.10 ***	−0.31	−16.66 ***	0.106	0.096	277.43 ***
	LS	−0.27	−14.29 ***	0.076	0.071	204.25 ***	−0.28	−15.05 ***	0.087	0.080	226.65 ***

Note. In model 2, control variables were statistically controlled, and predictors were included in the model separately; measures of positive youth development at Wave 1 and Wave 2 were included as predictors to predict internet addiction at Wave 1 and Wave 2, respectively. ^a 1 = boy, 2 = girl; ^b 1 = intact, 2 = non-intact; CBC = cognitive-behavioral competence; PA = prosocial attribute; GPYD = general positive youth development; PIT = positive identity; TPYD = mean of total positive youth development; LS = life satisfaction. * p < 0.05; *** p < 0.001.