TABLE 3.
Binary logistic regression models predicting plans to pursue a career as a professional esports player (N = 190).
| Single-predictor model | Multiple-predictor model | ||||||
| B | SE | OR (95% CI) | Nagelkerke R2 | B | SE | OR (95% CI) | |
| Control variable | |||||||
| Age | –0.05 | 0.03 | 0.95 (0.90; 1.00) | 0.03 | –0.06 | 0.03 | 0.94 (0.88; 1.00)† |
| Motives for playing online games | |||||||
| Social | 0.45 | 0.15 | 1.57 (1.16; 2.11)** | 0.09 | 0.34 | 0.20 | 1.40 (0.95; 2.05) |
| Escape | –0.10 | 0.14 | 0.91 (0.69; 1.19) | 0.03 | –0.05 | 0.21 | 0.95 (0.63; 1.44) |
| Competition | 0.67 | 0.16 | 1.95 (1.44; 2.65)*** | 0.17 | 0.66 | 0.17 | 1.94 (1.38; 2.72)*** |
| Coping | –0.19 | 0.15 | 0.82 (0.62; 1.10) | 0.04 | –0.51 | 0.25 | 0.60 (0.37; 0.99)* |
| Skill development | 0.49 | 0.16 | 1.63 (1.20; 2.22)** | 0.10 | 0.52 | 0.23 | 1.68 (1.07; 2.64)* |
| Fantasy | –0.06 | 0.13 | 0.94 (0.73; 1.21) | 0.03 | –0.15 | 0.21 | 0.86 (0.58; 1.30) |
| Recreation | 0.02 | 0.21 | 1.02 (0.67; 1.54) | 0.03 | –0.17 | 0.29 | 0.85 (0.48; 1.49) |
| Nagelkerke R2 of the model: 0.29 | |||||||
***p < 0.001; **p < 0.01; *p < 0.05; †p = 0.05. SE, standard error; OR, odds ratio; CI, confidence interval. In single predictor models, motives for playing online games were entered separately in the regression analysis while controlling for age. Reference category is “players who have no plans to pursue a career as a professional esports player” coded as 0 (n = 118, 62.1% of the total sample).