Table 4.

Results of competing models’ direct effect of X on Y, indirect effect(s) of X on Y and conditional indirect effects of X on Y

	Direct effect of X on Y						Pairwise contrasts
Simple Mediation (Model 2)			Effect	se	t	p
			−.07	.04	−1.712	.09
	Indirect effect(s) of X on Y
			Effect	BootSE	BootLLCI	BootULCI
	Attitude		−.20	.04	−.12	−.28
Moderated Mediation (Model 3)	Direct effect of X on Y
			Effect	se	t	p
			−.07	.04	−1.674	.09
	Conditional indirect effects of X on Y
	Gender		Effect	BootSE	BootLLCI	BootULCI	Include Zero
	Male		−.20 (a)	.04	−.12	−.28	a-b
	Female		−.21 (b)	.05	−.12	−.30
Dual Moderated Mediation (Model 4)	Direct effect of X on Y
			Effect	se	t	p
			−.06	.04	−1.571	.12
	Conditional indirect effects of X on Y
	Gender	Technology use (Hours)	Effect	BootSE	BootLLCI	BootULCI	Include Zero
	Male	4.90	−.14 (a)	.03	−.21	−.07	f-a, d-b, e-b, f-b, d-c, e-c, f-c, e-d, f-d, e-f
	Male	10.50	−.19 (b)	.04	−.27	−.11
	Male	16.04	−.24 (c)	.05	−.35	−.14
	Female	4.90	−.21(d)	.05	−.29	−.12
	Female	10.50	−.20 (e)	.04	−.29	−.12
	Female	16.04	−.19 (f)	.05	−.30	−.11

p* < .05, p** < .01; BootSE Bootstrap Standart Error, BootLLCI Bootstrap Lower Limit of Confidence Interval, BootULCI Bootstrap Upper Limit of Confidence Interval; Bootstrap Sample Size= 10⁴