Table 2 Demographic characteristics of respondents.
From: Exploring e-sports fans’ motivation for watching live streams based on self-determination theory
Norm | Variant | Frequency | Percentages (%) | Cumulative percentage (%) | M | SD |
|---|---|---|---|---|---|---|
Sex | Male | 628 | 59.7 | 59.7 | 1.40 | 0.49 |
Females | 424 | 40.3 | 100.0 | |||
Age | Under 18 | 134 | 12.7 | 12.7 | 2.48 | 1.19 |
18–25 years | 592 | 56.3 | 69.0 | |||
26–35 years | 144 | 13.7 | 82.7 | |||
36–45 years | 78 | 7.4 | 90.1 | |||
46–55 years | 73 | 6.9 | 97.1 | |||
55 years and over | 31 | 2.9 | 100.0 | |||
Careers | National public officials | 136 | 12.9 | 12.9 | 4.04 | 1.59 |
Private sector employees | 119 | 11.3 | 24.2 | |||
Profession | 66 | 6.3 | 30.5 | |||
Self-employed person | 55 | 5.2 | 35.7 | |||
Students | 603 | 57.3 | 93.1 | |||
Else | 73 | 6.9 | 100.0 | |||
Education level | Junior high school and below | 33 | 3.1 | 3.1 | 3.51 | 0.98 |
High school or secondary school | 169 | 16.1 | 19.2 | |||
Three-year college | 182 | 17.3 | 36.5 | |||
Undergraduate | 561 | 53.3 | 89.8 | |||
Master's degree or above | 107 | 10.2 | 100.0 | |||
Monthly salary | Below RMB 1500 | 399 | 37.9 | 37.9 | 2.49 | 1.45 |
RMB 1500–3000 yuan | 177 | 16.8 | 54.8 | |||
RMB 3,000–6,000 yuan | 164 | 15.6 | 70.3 | |||
RMB 6000–10,000 | 184 | 17.5 | 87.8 | |||
RMB 10,000 or more | 128 | 12.2 | 100.0 | |||
Favourite game types | Multiplayer online tactical competitive game | 710 | 67.5 | 67.5 | 0.67 | 0.47 |
First person shooter | 595 | 56.6 | 124.1 | 0.57 | 0.50 | |
Real-time strategy games | 346 | 32.9 | 157.0 | 0.33 | 0.47 | |
Collectible card game | 311 | 29.6 | 186.6 | 0.30 | 0.46 |
