This workshop will explore the fundamental principles and methodologies of preregistration, providing participants with a comprehensive understanding of its significance in fields like psychology and educational sciences. Attendees will engage in hands-on activities to develop their own preregistration plans, learning how to articulate research questions, hypotheses, and analysis strategies effectively. We will also discuss common challenges and misconceptions surrounding preregistration, as well as best practices for implementing it in research projects.
- What is preregistration and why should we do it
- Elements of a good preregistration
- Defining the smallest effect size of interest
- Reproducible preregistrations with R Markdown
- How to best integrate preregistration into your workflow
- Basic knowledge of statistical concepts like hypothesis testing
- Basic knowledge of R
Brandt, M., Ijzerman, H., Dijksterhuis, A., Farach, F., Geller, J., Giner-Sorolla, R., ... Van’t Veer, A. E. (2014, 01). The replication recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217–224. doi: 10.1016/j.jesp.2013.10.005
Van’t Veer, A. E., & Giner-Sorolla, R. (2016). Pre-registration in social psychology–A discussion and suggested template. Journal of Experimental Social Psychology, 67, 2–12.
Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R Markdown: The definitive guide. Chapman and Hall/CRC. Retrieved from https://bookdown.org/yihui/rmarkdown/
Participants will need to have installed:
- a current R version (https://cran.r-project.org/)
- an IDE for R (like RStudio or VSCode) or a text editor with syntax highlighting (like Vim or Notepad++)
- additional R packages