International Predictors of Contract Cheating in Higher Education
Bibliographic Data
| ID | 12839664 |
|---|---|
| Authors | Rebecca Awdry (0000-0001-6046-3275, Deakin University, corresponding author), Bob Ives (0000-0003-0912-1944, University of Nevada, Reno) |
| Year | 2022 |
| Volume | 21 |
| Issue | 2 |
| Pages | 193-212 |
| Publication date | 2022-04-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Academic Ethics (JOURNAL) |
| Journal identifiers | ISSN: 1570-1727 • E-ISSN: 1572-8544 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s10805-022-09449-1 |
| PMID | 35431710 |
| OpenAlex | W4224211292 |
| Language | EN |
| Citations received | 10 |
| References cited | 55 |
Prevalence of contract cheating and outsourcing through organised methods has received interest in research studies aiming to determine the most suitable strategies to reduce the problem. Few studies have presented an international approach or tested which variables could be correlated with contract cheating. As a result, strategies to reduce contract cheating may be founded on data from other countries, or demographics/situations which may not align to variables most strongly connected to engagement in outsourcing. This paper presents the results of a series of statistical analyses aimed at testing which variables were found to be predictors of students' self-reported formal outsourcing behaviours. The data are derived from an international research study conducted in 22 languages, with higher education students (from Europe, the Americas and Australasia. Analyses found that country and discipline of study as well as the rate at which respondents n = 7806) believed other students to be cheating, were positively correlated to their cheating behaviours. Demographic variables did not show strong statistical significance to predicting contract cheating
Actuarial science · Business · Cheating · Demographics · Outsourcing · Sociology · Academic integrity and plagiarism · Deception detection and forensic psychology · Demography · Psychology · Social Psychology · Marketing
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| Unique citing works | 10 |
|---|---|
| Citations per year | 3,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |