Resources

These lectures and tutorials introduce students to the scientific process and open research practices, in order to ensure that psychological research is as rigorous, transparent and, ultimately, as reproducible as possible. We also consider …

Methods for efficient, reliable, and reproducible science This course is designed to bolster the work of early-career scientists, including first year graduate students, by providing them with guidance to create a precise and personalized pipeline …

A blog about the crisis of research

Metascience is the science of science. Critical metascience takes a step back to question some common assumptions, approaches, problems, and solutions in metascience. Hence, it has also been described as meta-meta-science! The following is a …

A series of video of data management

Providing access to research data collected as part of scientific publications and publicly funded research projects is now regarded as a central aspect of an open and transparent scientific practice and is increasingly being called for by funding …

Data management - including data preparation, cleaning, storage, and sharing - is critical to psychological research. Despite its importance, data management is rarely formally taught to students. This syllabus provides detailed descriptions of data …

This paper is a study of the decisions that researchers take during the execution of a research plan: their researcher discretion. Flexible research methods are generally seen as undesirable, and many methodologists urge to eliminate these so-called …

Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).

This course is developed for students in research master programs and PhD candidates in the social and behavioral sciences broadly conceived, including psychology, neuroscience, data science, computational social science, sociology, political …