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International Predictors of Contract Cheating in Higher Education.

R AwdryBob Ives
Published in: Journal of academic ethics (2022)
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.
Keyphrases
  • healthcare
  • high school
  • electronic health record
  • big data
  • risk factors
  • data analysis