Resources

Files for this webinar are available at: https://osf.io/ewhvq/ This webinar focuses on how to use the Open Science Framework (OSF) to tie together and organize multiple projects. We look at example structures appropriate for organizing classroom …

This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure. OSF is a free, open source web application built …

Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of ‘work’ (Hochschild, Citation1983). …

Recent literature hints that outcomes of clinical trials in medicine are selectively reported. If applicable to psychotic disorders, such bias would jeopardize the reliability of randomized clinical trials (RCTs) investigating antipsychotics and thus …

Getting started with open science and knowing where to go. This webinar will introduce participants to major practices in open science and then dive into the resources available to learn how to use these in your own work.

This projects contains materials from lectures and workshops associated with the Oxford-Berlin Open Research Summer School 2019.

Welcome to the 4th edition of the Oxford|Berlin summer school on Open Research taking place online on 20 - 23 September 2021! It is a free course for early career researchers (post graduate students (MSc, PhD, and postdocs) who would like to learn …

An article about P Values and Statistical Practice

P values represent a widely used, but pervasively misunderstood and fiercely contested method of scientific inference. Display items, such as figures and tables, often containing the main results, are an important source of P values. We conducted a …

An abstract about the p-curve