Good research practice

Good research practices are crucially important and aim to improve the quality and reproducibility of empirical research. Relevant topics are covered such as study design, preregistration, reporting guidelines for various study types, statistical power, bias, and more. We will discuss the main causes of irreproducible research (publication bias, low power, p-hacking, and HARKing) and provide solutions with a special focus on preregistration and open science principles, and how these can be implemented into everyday research practice. The course will also cover an introduction to the Open Science Framework (OSF). For further information on reproducibility, visit www.crs.uzh.ch.

At the end of the course, participants will know:

• what are the causes of irreproducible research.

• best practices related to research design, statistical power, and bias.

• what is open science and how to document research output.

• how to preregister a study, and learn a new publishing scheme, registered reports.

• how to manage research in the Open Science Framework (OSF).

Dr. Simon Schwab, Dr. Eva Furrer & Prof. Dr. Leonhard Held, Center for Reproducible Science (CRS) and Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich.

This course is primarily aimed at PhD candidates and postdoctoral researchers in the empirical sciences.

27 September 2019 9:00 - 17:30

6 September 2019 23:59

HRS F-05, Epidemiology, Biostatistics and Prevention Institute (EBPI), Hirschengraben 84.

0 ECTS