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Statistical Analysis for Contract Cheating in Chinese Universities

Author

Listed:
  • Yuexia Wang

    (School of Transportation, Nantong University, Nantong 226019, China)

  • Zhihuo Xu

    (School of Transportation, Nantong University, Nantong 226019, China)

Abstract

Contract cheating refers to students using third-party online resources to complete their coursework. It is not only a unilateral result of the student, but also has a relationship with educators, as well as social resources. However, little work has been performed to analyze the complex behavioral aspects behind contract cheating in Chinese universities. To this end, this article presents a statistical analysis of contract cheating in Chinese universities. First, a unique parallel survey of educators and students was conducted to collect data from August 2018 to August 2020. Next, statistical analyses were performed to explore students’ experiences and attitudes toward contract cheating and the contextual factors that relate to these behaviors. Additionally, Pearson correlation tests were conducted on the survey data to find potential factors for contract cheating. Finally, a multivariate statistical technique, partial-least-squares regression (PLSR), was applied to interpret the results. The results of the statistical analysis showed that the main motivation for contract cheating is to receive good grades (the correlation coefficient ρ is 0.1309) from the perspective of students’ personal learning; from the side of university management, clear regulations ( ρ = − 0.1378 ), penalties for cheating ( ρ = − 0.1275 ), and the use of cheating-detection software ( ρ = − 0.1186 ) can directly reduce cheating; from the perspective of teachers’ teaching, lecturers’ feedback on cheating on assignments ( ρ = − 0.1510 ) can effectively reduce students’ cheating behavior; in addition, increasing students’ sense of achievement in course learning ( ρ = − 0.2619 ) also helps to reduce the probability of cheating.

Suggested Citation

  • Yuexia Wang & Zhihuo Xu, 2021. "Statistical Analysis for Contract Cheating in Chinese Universities," Mathematics, MDPI, vol. 9(14), pages 1-17, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1684-:d:596219
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    References listed on IDEAS

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    1. Elodie Gentina & Thomas Li-Ping Tang & Pierre-François Dancoine, 2018. "Does Gen Z's emotional intelligence promote iCheating (cheating with iPhone) yet curb iCheating through reduced nomophobia ?," Post-Print hal-01914805, HAL.
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    Cited by:

    1. Liu Xin Juan & Wu Yun Tao & Palanisamy K. Veloo & Mahadevan Supramaniam, 2022. "Using Extended TPB Models to Predict Dishonest Academic Behaviors of Undergraduates in a Chinese Public University," SAGE Open, , vol. 12(4), pages 21582440221, November.

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