Resources

This post follows one I wrote earlier in the summer, after ASSC. Since then I have been trying (in a first-person therapy sort of way) to figure out what made me so worried after the IIT vs. GNWT showdown, and the media coverage that followed it. In …

This lesson shows how to use Python and skimage to do basic image processing. With support from an NSF iUSE grant, Dr. Tessa Durham Brooks and Dr. Mark Meysenburg at Doane College, Nebraska, USA have developed a curriculum for teaching image …

Limiting the debilitating consequences of ageing is a major medical challenge of our time. Robust pharmacological interventions that promote healthy ageing across diverse genetic backgrounds may engage conserved longevity pathways. Here we report …

The emergence of large-scale replication projects yielding successful rates substantially lower than expected caused the behavioural, cognitive, and social sciences to experience a so-called 'replication crisis'. In this Perspective, we reframe this …

The goal of science is to accumulate knowledge about nature. There are scientific values guiding how scientists should work, and scientific practices guiding how scientists do work. This course will examine the discrepancy between scientific values …

The goal of the course is to become a better scientist. You will learn about newest standards for scientific openness, and how they influence the reporting and interpretation of empirical evidence. One component of the course is an intervention to …

Preregistration is the practice of publicly publishing plans on central components of the research process before access to, or collection, of data. Within the context of the replication crisis, open science practices like preregistration have been …

In this article, the Society for Personality and Social Psychology (SPSP) Task Force on Publication and Research Practices offers a brief statistical primer and recommendations for improving the dependability of research. Recommendations for research …

Social science research has undergone a credibility revolution, but these gains are at risk due to problematic research practices. Existing research on transparency has centered around randomized controlled trials, which constitute only a small …

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics …