Table 1.
Regression analysis of gaming disorder in Study 1.
B | SE | β | t | p | |
---|---|---|---|---|---|
Model 1, F (2,198) = 0.03; p = 0.972; R2adj. = −0.01 | |||||
(Constant) | 7.27 | 0.60 | 12.14 | <0.001 | |
Age | 0.00 | 0.02 | −0.01 | −0.19 | 0.849 |
Gender dichotomous | 0.00 | 0.00 | 0.01 | 0.13 | 0.900 |
Model 2, F (3,197) = 5.22; p = 0.002; R2adj. = 0.06 | |||||
(Constant) | 5.95 | 0.67 | 8.89 | <0.001 | |
Age | 0.00 | 0.02 | 0.01 | 0.12 | 0.908 |
Gender dichotomous | 0.00 | 0.00 | 0.03 | 0.39 | 0.699 |
DGI | 0.07 | 0.02 | 0.27 | 3.95 | <0.001 |
Model 3, F (4,196) = 6.00; p < 0.001; R2adj. = 0.09 | |||||
(Constant) | 5.48 | 0.68 | 8.07 | <0.001 | |
Age | 0.01 | 0.02 | 0.04 | 0.54 | 0.588 |
Gender dichotomous | 0.00 | 0.00 | 0.03 | 0.41 | 0.682 |
DGI | 0.04 | 0.02 | 0.16 | 2.04 | 0.043 |
IGI | 0.02 | 0.01 | 0.22 | 2.79 | 0.006 |
Model 4, F (20,180) = 2.20; p = 0.003; R2adj. = 0.11 | |||||
(Constant) | 5.09 | 0.89 | 5.68 | <0.001 | |
Age | 0.01 | 0.02 | 0.03 | 0.32 | 0.748 |
Gender dichotomous | 0.00 | 0.00 | 0.04 | 0.66 | 0.510 |
DGI | 0.04 | 0.02 | 0.14 | 1.61 | 0.109 |
IGI | 0.03 | 0.01 | 0.26 | 3.07 | 0.002 |
Action adventure | 0.24 | 0.58 | 0.03 | 0.41 | 0.684 |
Battle royale | 1.02 | 1.60 | 0.04 | 0.63 | 0.526 |
Card games | −0.67 | 1.17 | −0.04 | −0.57 | 0.569 |
Driving games | −0.49 | 1.19 | −0.03 | −0.41 | 0.682 |
Fighting games | −0.16 | 3.26 | 0.00 | −0.05 | 0.960 |
MMORPG | 2.22 | 1.12 | 0.14 | 1.98 | 0.049 |
MOBA | −0.02 | 0.68 | 0.00 | −0.02 | 0.982 |
Other | 0.29 | 0.66 | 0.03 | 0.44 | 0.659 |
Platform games | 0.01 | 0.87 | 0.00 | 0.02 | 0.988 |
Puzzle ang logic games | 1.09 | 0.62 | 0.14 | 1.75 | 0.081 |
RPG | 1.62 | 0.80 | 0.15 | 2.03 | 0.044 |
Shooters | 0.02 | 0.68 | 0.00 | 0.03 | 0.976 |
Simulations | −0.51 | 0.55 | −0.07 | −0.93 | 0.353 |
Sport games | −0.89 | 1.03 | −0.06 | −0.86 | 0.391 |
Strategy games | 1.04 | 0.70 | 0.11 | 1.48 | 0.140 |
Survival horrors | −1.85 | 1.44 | −0.09 | −1.28 | 0.200 |
Dependent variable – Gaming Disorder.