Resources

Null-hypothesis significance tests (NHST), properly used, tell us whether we have sufficient evidence to be confident of the sign of the population effect–but only if we abandon two-valued logic in favor of Kaiser's (1960) three-alternative …

Collaboration between researchers has become increasingly common, enabling a level of discovery and innovation that is difficult if not impossible to achieve by a single person. But how can one establish and maintain an environment that fosters …

Slides for a talk given at SIPS 2016

This article introduces a new approach for evaluating replication results. It combines effect-size estimation with hypothesis testing, assessing the extent to which the replication results are consistent with an effect size big enough to have been …

This checklist is intended to help scientists, reviewers, and editors prepare and assess manuscripts for inclusion of critical details relevant to work with pluripotent stem cells (PSCs) and tissue stem cells (TSCs) with the goal of increasing the …

We report evidence of an undocumented method to manipulate citation counts involving 'sneaked' references. Sneaked references are registered as metadata for scientific articles in which they do not appear. This manipulation exploits trusted …

I believe that higher education should be focused on developing passionate, critical, independent and creative thought, and the transmission of knowledge should be in the service of developing these skills. In the classroom, I try to communicate the …

Workshop overview for the Data Carpentry Social Sciences curriculum. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop …

This workshop will introduce students to the process of reproducing published work. Replicating other scholars’ work is an essential tool for becoming familiar with methods, learning to select suitable models, and getting a chance to publish early …

A paper about social, behavioural economic perspective on reproducible science