Embedding Reproducibility and Replicability in a Regression Modelling Assessment

Researchers across different disciplines have highlighted concerns about the reproducibility of published findings and the interpretation of replication studies. Despite this, reproducibility and replicability are often not developed as core skills in statistics education before students reach the point of conducting an independent research project. This article presents an assessment that uses reproducibility and replicability tasks to assess students’ regression modelling skills. In the assessment, students analyse open data to reproduce the results from an original study, then analyse data from a direct replication of the original study and evaluate whether the findings replicate. To contextualise the assessment, I outline the graduate-level statistics and research design course where I use the assessment, and provide an example assessment aimed at psychology and neuroscience students. Finally, I reflect on my experiences using the assessment and suggest how educators can adapt the approach for their own students.