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Promoting academic honesty: a Bayesian causal analysis of an integrity pilot campaign

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  • Alejandro Puerta
  • Andrés Ramírez-Hassan

Abstract

We examine the effect of an integrity pilot campaign on undergraduates' behavior. As with many costly small-scale experiments and pilot programs, our statistical inference has to rely on small sample size. To tackle this issue, we perform a Bayesian retrospective power analysis. In our setup, a lecturer intentionally makes mistakes that favors students' grades, who decide whether to disclose them or not. We find evidence that at least in the short term, the pilot campaign has a positive impact on the students' disclosure probability.

Suggested Citation

  • Alejandro Puerta & Andrés Ramírez-Hassan, 2022. "Promoting academic honesty: a Bayesian causal analysis of an integrity pilot campaign," Education Economics, Taylor & Francis Journals, vol. 30(5), pages 509-526, September.
    • Handle: RePEc:taf:edecon:v:30:y:2022:i:5:p:509-526
    DOI: 10.1080/09645292.2021.2006609
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