Table 4.
Effects of both personality and psychological factors on problematic internet gaming.
| Independent variables | Model 1 | Model 2 | Model 3 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| B | Wald | OR | B | Wald | OR | B | Wald | OR | ||
| Demographic factors | Age | .031 | 1.613 | 1.032 | .034 | 1.547 | 1.035 | .019 | .270 | 1.019 |
| Sex | −1.144 | 1.767 | .318 | −1.540 | 2.531 | .214 | −1.520 | 1.075 | .219 | |
| Years of education | −.021 | .077 | .979 | −.028 | .110 | .972 | .053 | .223 | 1.054 | |
| Genre | −.231 | 2.961 | .794 | −.223 | 2.158 | .800 | −.156 | .576 | .856 | |
| TCI | NS | .011 | .415 | 1.011 | .018 | .613 | 1.018 | |||
| HA | .030 | 3.145 | 1.030 | −.007 | .090 | .993 | ||||
| RD | .000 | .000 | 1.000 | −.002 | .012 | .998 | ||||
| PE | .010 | .312 | 1.010 | .028 | 1.415 | 1.029 | ||||
| SD | −.036 | 1.163 | .945 | −.033 | 1.580 | .967 | ||||
| CO | .004 | .057 | 1.004 | .010 | .183 | 1.010 | ||||
| ST | .013 | .513 | 1.013 | −.016 | .389 | .984 | ||||
| Psychological status |
BDI | .331 | 5.582 | 1.393** | ||||||
| BAI | .004 | .019 | 1.004 | |||||||
| K−ADHD−RS | .045 | 5.530 | 1.046* | |||||||
| Indices | Model 0 | Model 1 | Model 2 | Model 3 | ||||||
| −2LL | 334.42 | 327.52 | 280.26 | 178.35 | ||||||
| Model χ2/p | N/A | 6.38/.17 | 53.64/ < .01 | 155.54/< .01 | ||||||
| Nag 2 | N/A | .035 | .266 | .634 | ||||||
| Class accur | 53.5 | 53.5 | 66.4 | 83.4 | ||||||
**p < 0.01; *p < 0.05; −2LL, −2 log likelihood, Nag R2, Nagelkerke’s R2; class accur, classification accuracy; dependent factor: problematic internet game playing, NS, novelty seeking; HA, harm avoidance; RD, reward dependence; Pe, persistence; SD, self-directedness; Co, cooperativeness; ST, self-transcendence; BDI, Beck Depressive Inventory; BAI, Beck Anxiety Inventory; K-ADHD-RS, Korean version of the Dupauls’ ADHDA Rating Scale.