Good research practices are of great importance for early-career researchers to foster rigorous research and tackle issues related to reproducibility. In this two-day course relevant topics are covered such as causes of irreproducible research, exploratory vs. confirmatory research, study design, open science, preregistration, reproducibility and replicability in experiments, reporting guidelines, writing statistical analysis plans, issues with small study research, and avoiding statistical pitfalls. We will provide solutions to support daily research practice, with workshops about the Open Science Framework (OSF), study registration, computational notebooks and pitfalls in statistical significance testing. For further information on reproducibility, visit www.crs.uzh.ch.
At the end of the course, participants will know:
Dr. Rachel Heyard, Dr. Eva Furrer & Prof. Dr. Leonhard Held Center for Reproducible Science (CRS), University of Zurich.
This course is primarily aimed at PhD candidates and postdoctoral researchers in the empirical sciences. Knowledge of the R programming language is an advantage.
11 November 2022, 9:00 - 17:00h
18 November 2022, 9:00 - 17:00h
|Contact person||Eric Alms, Graduate Campus|
|Registration fee||There is no registration fee for this course.|