Resources

Open Science seeks to make research processes and outputs more accessible, transparent, and inclusive, ensuring that scientific findings can be freely shared, scrutinised, and built-upon by researchers and others. To date, there has been no …

A post that describes significance values

The many criticisms of null hypothesis testing suggest when it is not useful and what is should not be used for. This article explores when and why its use is appropriate. Null hypothesis testing is insufficient when size of effect is important, but …

An editorial about p value

Science studies scholars have shown that the management of natural complexity in lab settings is accomplished through a mixture of technological standardization and tacit knowledge by lab workers. Yet these strategies are not available to researchers …

In this episode JP and Alex interview Zoltan Dienes. They discuss Zoltan's passion for the martial arts, why Bayesian inference could be more Popperian than you might think, and the easiest way to start using Bayesian statistics in practice.

Blog about Bayesfactor and statistics

An abstract about bayesian reproducibility project

Practices that introduce systematic bias are common in most scientific disciplines, including toxicology. Selective reporting of results and publication bias are two of the most prevalent sources of bias and lead to unreliable scientific claims. …

Preregistration is an open science practice that requires the specification of research hypotheses and analysis plans before the data are inspected. Here, we discuss the benefits of preregistration for hypothesis-driven, confirmatory bilingualism …