Resources

 

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

Bayesian Cognitive Modelling

This site is dedicated to the book “Bayesian Cognitive Modeling: A Practical Course”, published by Cambridge University Press.

Richard McElreath

A series of youtube videos about his book on statistical rethinking and Bayesian statistics

Towards inclusive funding practices for early career researchers

Securing research funding is a challenge faced by most scientists in academic institutions worldwide. Funding success rates for all career stages are low, but the burden falls most heavily on early career researchers (ECRs) - young investigators in …

Race to the Bottom: Competition and Quality in Science

This paper investigates how competition to publish first and thereby establish priority impacts the quality of scientific research. We begin by developing a model where scientists decide whether and how long to work on a given project. When deciding …

Data tutorial: Power analysis using G*Power

A tutorial on a priori and sensitivity power analyses using G*power

Rethinking Research Assessment:Addressing Institutional Biases in Review, Promotion, and Tenure Decision-Making (part IV)

In our final installment we get into how incumbent processes and perceptions have the advantage.

Credibility of preprints: an interdisciplinary survey of researchers

Preprints increase accessibility and can speed scholarly communication if researchers view them as credible enough to read and use. Preprint services do not provide the heuristic cues of a journal's reputation, selection, and peer-review processes …

The p-value misconception eradication challenge

If you have educational material that you think will do a better job at preventing p-value misconceptions than the material in my MOOC, join the p-value misconception eradication challenge by proposing an improvement to my current material in a new …

CREP tutorials

This playlist was created to help students and their instructors complete CREP projects.

Teaching replicable and reproducible science

Participants will develop materials for teaching replicability and reproducible science. Possible materials to be generated include syllabi, specific assignments, or single lectures or lesson plans. We will provide existing teaching materials and …
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