Table 8.

Hypotheses testing results (Moderation Tests)

Hypoth	Regression	X + M → Y	Int-I X*M	Strong Effect	Support
H6	Gender moderate	p-value	R2 change b = Effect		Yes Partially
	VD → EoU	R2 = 0.112, p < 0.05	R2 = 0.060, b = -0.673*, p < 0.05	Male R2 = 0.095
	CE → EoU	R2 = 0.230, p < 0.05	R2 = 0.041, b = -0.605*, p < 0.05	Male R2 = 0.255
H7	SMART Phone use moderate CQ → EoU	R2 = 0.205, p < 0.05	R2 = 0.038, b = 0.490*, p < 0.05	Yes R2 = 0.398	Yes Partially
	Desktop use moderate CQ → U	R2 = 0.219, p < 0.05	R2 = 0.032, b = -0.417*, p < 0.05	No R2 = 0.276
	Daily on internet moderate CQ → U	R2 = 0.159, p < 0.05	R2 = 0.039, b = -0.390*, p < 0.05	1–3 h R2 = 0.319 72.8% < 2.53
	Weekly online study moderate CQ → U	R2 = 0.414, p < 0.05	R2 = 0.054, b = -0.417*, p < 0.05	1–2 h R2 = 0.318 68.9% < 2.76

* Correlation is significant at the 0.05 level (2-tailed)