Table 3.

Hierarchical multivariable regression predicting self-reported addiction to Internet pornography

	Model 1					Model 2					Model 3
	PC	AE	ED	3-item		PC	AE	ED	3-item		PC	AE	ED	3-item
	β	β	β	β	VIF	β	β	β	β	VIF	β	β	β	β	VIF
Age	−.128**	−.183**	−.150**	−.181**	1.23	−.131**	−.186**	−.154**	−.184**	1.23	−.120**	−.174**	−.135**	−.168**	1.24
Gender: male	.123**	.170**	.101**	.153**	1.41	.121**	.168*	.098**	.150**	1.30	.101**	.146**	.062*	.119**	1.31
Frequency of pornography use	.300**	.174**	−.062*	.153**	1.30	.330**	.201**	−.023	.191**	1.42	.380**	.255**	.065*	.267**	1.45
Average minutes per day	.072*	.068*	.016	.059*	1.15	.062*	.059*	.003	.047*	1.15	.060*	.057*	.000	.044*	1.15
Religiousness						.249**	.224**	.324**	.314**	1.01	.098**	.061*	.059*	.085**	1.26
Moral incongruence											.345**	.374**	.607**	.525**	1.28
R2	.176	.124	.020	.104		.237	.174	.124	.201		.330	.283	.412	.417
ΔR2						.061	.050	.103	.097		.093	.109	.288	.216
F for ΔR2	77.82**	51.60**	7.48**	42.12**		116.10**	87.32**	171.23**	176.86**		201.55**	221.194**	71.59**	537.58**

Note. β: standardized estimates; PC: “I am addicted to pornography;” AE: “I have put off things I needed to do in order to view pornography;” ED: “I feel depressed after viewing pornography;” 3-item: aggregate of previous three items; VIF: variance inflation factor.

*p < .05. **p < .001 (Holm adjusted test statistics).