Resources

 

We have an amazing team who curated many resources for the community.

Better P-curves: Making P-curve Analysis More Robust to Errors, Fraud, and Ambitious P-hacking, a Reply to Ulrich and Miller (2015)

When studies examine true effects, they generate right-skewed p-curves, distributions of statistically significant results with more low (.01 s) than high (.04 s) p values. What else can cause a right-skewed p-curve? First, we consider the …

Beyond infrastructure: Unpacking the complexity of exclusion and implications for just mobility transitions

As cities promote cycling as a sustainable mode of transport, this project asks a crucial question: Who is being left behind? Focusing on Amsterdam, the study explores what a just mobility transition looks like by examining the barriers faced by …

Beyond kindness: A proposal for the flourishing of science and scientists

We argue that many of the crises currently afflicting science can be associated with a present failure of science to sufficiently embody its own values. Here, we propose a response beyond mere crisis resolution based on the observation that an …

Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors

Statistical power analysis provides the conventional approach to assess error rates when designing a research study. However, power analysis is flawed in that a narrow emphasis on statistical significance is placed as the primary focus of study …

Biden-⁠Harris Administration Marks the Anniversary of OSTP’s Year of Open Science

One year ago, the White House Office of Science and Technology Policy (OSTP) launched a Year of Open Science, announcing actions across the federal government to advance open, equitable, and secure research. Throughout 2023, federal agencies engaged …

Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul Et Al. (2009)

Vul, Harris, Winkielman, and Pashler (2009), (this issue) argue that correlations in many cognitive neuroscience studies are grossly inflated due to a widespread tendency to use nonindependent analyses. In this article, I argue that Vul et al.'s …

Big team science initiatives: A catalyst for trustworthy advancements in IO psychology

Keener et al. (2023) raise concerns about the trustworthiness of Industrial/Organizational (IO) Psychology research and related fields due to the low reproducibility and replicability of research findings. The authors provide various solutions to …

Big Team Setup Guide

This guide is one of the “talks” for ABRIR’s workshop series: Increased Representation: A Vision for Inclusive Big-team Science. The author, Lisa DeBruine, will be available to answer questions asynchronously on the workshop Slack during the …

Biomedical Data Repository Concepts and Management Principles

The demand for open data and open science is on the rise, fueled by expectations from the scientific community, calls to increase transparency and reproducibility in research findings, and developments such as the Final Data Management and Sharing …

Biomedical publishing: Past historic, present continuous, future conditional

Academic journals have been publishing the results of biomedical research for more than 350 years. Reviewing their history reveals that the ways in which journals vet submissions have changed over time, culminating in the relatively recent appearance …
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