| Literature DB >> 34912274 |
Sung Je Lee1, Eui Jun Jeong1, Dae Young Lee1, Gyoung Mo Kim1.
Abstract
Cheating, the act of winning in a competition based on unfair advantages over one's opponents, often occurs in online games (e.g., illegal money exchange, account hacking, and exploiting a bug). With the recent flourishing of competitive tournament games online, such as League of Legends (LoL) and Overwatch, cheating has emerged as a serious problem since it not only promotes the de-socialization of gamers but also adversely affects game brands. However, there has little research on this issue in studies on competitive online games. Focused on three psychological factors (i.e., competitive motivation, self-esteem, and aggression), which has been reported to be primarily related to cheating in sports, this paper presents a study that empirically examined the associations between the factors and cheating in competitive online game environments. From survey data of 329 LoL gamers in South Korea, a structural equation model was analyzed. The results showed that gamers with a high degree of competitive motivation are more inclined to cheat in the game. Aggression increased cheating behavior and had a significant relationship with competitive motivation. Self-esteem decreased the degree of cheating but did not affect competitive motivation. Notably, gaming time negatively influenced cheating. The practical implications of these study results were discussed.Entities:
Keywords: aggression; cheating; competitive motivation; online games; self-esteem
Year: 2021 PMID: 34912274 PMCID: PMC8666630 DOI: 10.3389/fpsyg.2021.768825
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Reliability and discriminant validity of constructs.
|
| SD |
| Cronbach’s Alpha | AVE | C.R. | |
|---|---|---|---|---|---|---|
| Self-esteem | 3.54 | 0.824 | 6 | 0.864 | 0.4902 | 0.8874 |
| Aggression | 2.49 | 0.873 | 8 | 0.911 | 0.5123 | 0.8936 |
| Competitive motivation | 2.85 | 1.055 | 3 | 0.876 | 0.6340 | 0.8379 |
| Cheating | 1.64 | 0.921 | 3 | 0.876 | 0.6817 | 0.8647 |
| Gaming time | 2.49 | 1.212 | 1 |
Correlations and discriminant validity analysis.
| Self-esteem | Aggression | Competitive motivation | Cheating | |
|---|---|---|---|---|
| Self-esteem |
| |||
| Aggression | 0.2134 |
| ||
| Competitive motivation | 0.0129 | 0.0718 |
| |
| Cheating | 0.0497 | 0.2275 | 0.0275 |
|
The square root of the extracted average variance is presented in bold font in the diagonal cells for the corresponding construct.
p<0.0.05;
p<0.001;
p<0.001.
Figure 1Results of structural equation model. *p<0.05; **p<0.01; and ***p<0.001.
Hypothesis test results.
|
|
| C.R. | Results | |
|---|---|---|---|---|
| H1. Competitive motivation → Cheating (+) | 0.099 | 0.120 | 2.194 |
|
| H2. Self-esteem → Cheating (−) | −0.155 | −0.136 | −2.462 |
|
| H3. Self-esteem → Competitive motivation (+) | −0.076 | −0.055 | −0.987 | Rejected |
| H4. Aggression → Cheating (+) | 0.407 | 0.410 | 6.033 |
|
| H5. Aggression → Competitive motivation (+) | 0.267 | 0.223 | 3.741 |
|
p<0.05; <0.01; and
p<0.001.