Preregistration, the process of publicly recording a study’s hypotheses, design, and analysis plan before data collection and/or analysis, is an essential practice for enhancing transparency, methodological rigour, and reproducibility in research. This chapter provides a practical guide for integrating preregistration into teaching and supervision.The first section highlights arguments for adopting preregistration, emphasising its role in reducing biases. It introduces preregistration as a critical skill for academic development and offers guidance for designing learning exercises, including activities that build competencies in hypothesis formulation, study design, and analysis planning relevant to both quantitative and qualitative studies.The second section addresses the practical implementation of preregistration in student-led projects. It discusses how to support preregistration across methodological traditions—quantitative, qualitative, and systematic reviews—and offers concrete guidance on template selection, platform use, managing deviations from preregistered plans, and reporting exploratory analyses.
Topor et al. (Fri,) studied this question.