Don't cheat, be happy. Self‐control, self‐beliefs, and satisfaction with life in academic honesty: A cross‐sectional study in Poland

Błachnio, Agata

doi:10.1111/sjop.12534

Cited by 23 publications

(24 citation statements)

References 38 publications

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“…A similar study conducted on participants from 31 schools also demonstrated that the actual prevalence of cheating was 4.7%, while the perceived prevalence was 39%, similar to our study [24]. At the same time, some other studies indicate a substantial correlation between perception and prevalence [25,26].…”

Section: Discussionsupporting

confidence: 90%

Self-Reported Academic Misconduct among Medical Students: Perception and Prevalence

Dar

Khan²

2021

The Scientific World Journal

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Academic integrity is the basis of an education system and must be taught as an ethical behavior during academic training. Students who reflect honesty and truthfulness during the academic years are more likely to follow this path, develop professional integrity, and thus become responsible and dependable professionals. Here, we determine the prevalence of academic lapses among medical students by a cross-sectional descriptive survey based on a self-assessment questionnaire. Students’ perception of 37 behaviors comprising five domains, plagiarism, indolence, cheating, disruptive behavior, and falsifying data, were explored. A high percentage of students (83%) indicated that all 37 behaviors constitute misconduct. Approximately 65% of students thought that their fellow students were involved in dishonest behaviors, and 34% answered that they were indulged in some form of misconduct. Content analysis identified some prevalent behaviors such as doing work for another student (82.5%), getting information from the students who already took the exam (82.5%), copying the answer from neighbors (79%), and marking attendance for absent friends (74.5%). Multiple regression analysis points out that future indulgence in a behavior is significantly ( p ≤ 0.5 ) correlated with understanding a behavior as wrong, perceiving that others do it and whether one has already indulged in it. This study can serve as a diagnostic tool to analyze the prevalence of misconduct and a foothold to develop the medical school system’s ethical guidelines.

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Section: Discussionsupporting

confidence: 90%

Self-Reported Academic Misconduct among Medical Students: Perception and Prevalence

Dar

Khan²

2021

The Scientific World Journal

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“…Previous studies have shown that cheaters generally have lower levels of self-esteem and self-efficacy than non-cheaters (Miller et al, 2007;Blachnio and Weremko, 2011;Błachnio, 2019). This result implies that people who are more afraid of failure and who lack self-esteem are more likely to use cheating to achieve their goals (Fontaine, 2006), and also suggests that low levels of self-esteem can adversely affect the behaviors that comply with rules and norms.…”

Section: Potential Factors Related To Cheating In Online Gamesmentioning

confidence: 97%

“… Ryska (2003) has shown that sports players with high level of self-esteem or mastery are more likely to have a high degree of sportsmanship. Low self-esteem is related to disruptive behavior in sports, such that cheaters are generally known to show lower levels of self-esteem than non-cheaters ( Miller et al, 2007 ; Błachnio, 2019 ). Thus, this study focuses on competitive motivation, self-esteem, and aggression as primary factors related to cheating in online games.…”

Section: Literature Reviewmentioning

confidence: 99%

“…These arguments are supported by research results that showed that aggression affects misdeeds in the cyber context or antisocial behaviors ( Patchin and Hinduja, 2011 ; Wang et al, 2017 ). Likewise, many studies have shown that people with higher levels of aggression and competitive motivation are more involved in cheating than those who are less competitive and aggressive ( Davis and Ludvigson, 1995 ; Błachnio, 2019 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Why Do Some Users Become Enticed to Cheating in Competitive Online Games? An Empirical Study of Cheating Focused on Competitive Motivation, Self-Esteem, and Aggression

et al. 2021

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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.

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“…Other authors [18] administered the Academic Honesty Scale, the Brief Self-Control Scale, the Social Success Index, the Normalcy Feeling Scale, the Social Comparison Scale, and the Satisfaction With Life Scale to a sample of 631 Polish respondents, and found self-regulation to be inversely related to academic cheating. The study also found a gender gap when engaging in academic cheating.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Link between Academic Dishonesty and Economic Delinquency: A Partial Least Squares Path Modeling Approach

et al. 2019

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This paper advances the study of the relationship between the attitude towards academic dishonesty and other types of dishonest and even fraudulent behavior, such as tax evasion and piracy. It proposes a model in which the attitudes towards two types of cheating and fraud are systematically analyzed in connection with a complex set of latent construct determinants and control variables. It attempts to predict the tolerance towards tax evasion and social insurance fraud and piracy, using academic cheating as the main predictor. The proposed model surveys 504 student respondents, uses a partial least squares—path modeling analysis, and employs two subsets of latent constructs to account for context and disposition. The relationship between the outcome variable and the subset of predictors that account for context is mediated by yet another latent construct—Preoccupation about Money—that has been shown to strongly influence people’s attitude towards a whole range of social and economic behaviors. The results show academic dishonesty is a statistically significant predictor of an entire range of unethical and fraudulent behavior acceptance, and confirm the role played by both contextual and dispositional variables; moreover, they show that dispositional and contextual variables tend to be segregated according to how they impact the outcome. They also show that money priming does not act as a mediator, in spite of its stand-alone impact on the outcome variables. The most important result, however, is that the effect size of the main predictor is large. The contribution of this paper is two-fold: it advances a line of research previously sidestepped, and it proposes a comprehensive and robust model with a view to establish a hierarchy of significance and effect size in predicting deviance and fraud. Most of all, this research highlights the central role played by academic dishonesty in predicting the acceptance of any type of dishonest behavior, be it in the workplace, at home, or when discharging one’s responsibilities as a citizen. The results presented here give important clues as to where to start intervening in order to discourage the acceptance of deviance and fraud. Educators, university professors, and academic administrators should be at the forefront of targeted campaigns and policies aimed at fighting and reducing academic dishonesty.

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Don't cheat, be happy. Self‐control, self‐beliefs, and satisfaction with life in academic honesty: A cross‐sectional study in Poland

Cited by 23 publications

References 38 publications

Self-Reported Academic Misconduct among Medical Students: Perception and Prevalence

Self-Reported Academic Misconduct among Medical Students: Perception and Prevalence

Why Do Some Users Become Enticed to Cheating in Competitive Online Games? An Empirical Study of Cheating Focused on Competitive Motivation, Self-Esteem, and Aggression

Exploring the Link between Academic Dishonesty and Economic Delinquency: A Partial Least Squares Path Modeling Approach

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