Resources

A core problem that has been addressed in the scientific reform movement so far is the low rates of reproducibility of research results. Mainstream reform literature has aimed at increasing reproducibility rates by implementing procedural changes in …

In order to study the prevalence, nature (direction), and causes of reporting errors in psychology, we checked the consistency of reported test statistics, degrees of freedom, and p values in a random sample of high- and low-impact psychology …

Depression severity is assessed in numerous research disciplines, ranging from the social sciences to genetics, and used as a dependent variable, predictor, covariate, or to enroll participants. The routine practice is to assess depression severity …

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