Conceptual and Statistical Knowledge

This book starts from the premise that there is a lot we can all do to increase the benefits of research. Let’s consider the main limitations of research that is not carried out and shared in an open, transparent, and reproducible way: If papers …

Many scientific fields are facing a reproducibility crisis, revealed where replication fails to reproduce findings from previous work. This irreproducibility leads to the promulgation of inappropriate evidence.

In this article, we present a model for determining how total research payoff depends on researchers’ choices of sample sizes, α levels, and other parameters of the research process. The model can be used to quantify various tradeoffs inherent in the …

This is an introductory guide for those working and considering working in the area of open research. It was drafted by members of the Open Research Competencies Coalition. There are many resources available on the topic of open research either aimed …

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). …

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.

An article about P Values and Statistical Practice

An abstract about the p-curve

My p-curve tool now lets you show the x-axis on a log₁₀ scale, which makes it a lot easier to look at really small p-values