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. 2018 May 23;2018:7914261. doi: 10.1155/2018/7914261

Table 1.

Correlations among Internet addiction and new technology use.

1 2 3 4 5 6 7 8 9 10 11 12 M SD
(1) Gender 1
(2) Age .10∗∗ 1 15.64 2.08
(3) Time online_QNDT .16∗∗∗ .21∗∗∗ 1 2.85 1.03
(4) Time on videogames_QNDT −.46∗∗∗ −.24∗∗∗ −.02 1 1.49 0.81
(5) Videogames with mother_QNDT .17∗∗∗ −.08 .02 −.001 1 1.42 0.62
(6) Videogames with father_QNDT −.10 −.20∗∗∗ −.08 .18∗∗∗ .43∗∗∗ 1 1.63 0.72
(7) Internet with mother_QNDT .15∗∗∗ .03 .07 −.12∗∗ .34∗∗∗ .15∗∗∗ 1 2.18 0.75
(8) Internet with father_QNDT −.10∗∗ −.03 −.001 .07 .19∗∗∗ .33∗∗∗ .47∗∗∗ 1 2.10 0.79
(9) Quarrels with parents_QNDT .01 −.02 .26∗∗∗ .06 −.05 −.04 −.03 −.04 1 1.74 0.86
(10) Parental restriction_QNDT −.11∗∗ −.20∗∗∗ −.06 .07 .003 .001 −.03 .01 .05 1 0.46 0.51
(11) Making friends online_QNDT .07 .14∗∗∗ .22∗∗∗ .06 −.04 −.02 −.06 −.01 .10 −.01 1 0.61 0.49
(12) Internet addiction_SPQ −.03 −.10∗∗ .25∗∗∗ .19∗∗∗ −.01 .01 −.05 −.01 .25∗∗∗ .02 .15∗∗∗ 1 20.50 7.49

Note. ∗∗∗p < .001; ∗∗p < .01; p < .05. Gender was coded as 0 = males and 1 = females.