Resources

 

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

Good Science, Bad Science

A syllabi about open science: good science and bad science.

Guide Your Students to Become Better Research Consumers

Blog post going over making undergraduate students better consumers of research

Interpreting confidence intervals

A blog about the visualisation of Confidence intervals

Interpreting Correlations: an interactive visualization

Correlation is one of the most widely used tools in statistics. The correlation coefficient summarizes the association between two variables. In this visualization I show a scatter plot of two variables with a given correlation. The variables are …

Research Methods Syllabi

A syllabus about evaluating research methods

Retraction Watch: Michael LaCour archives

How easy is it to change people’s minds? In 2014, a Science study suggested that a short conversation could have a lasting impact on people’s opinions about gay marriage – but left readers disappointed when it was retracted only months later, after …

Significance

Visual comics about significance testing

Spurious Correlations

A website detailing spurious correlations

Understanding Statistical Power and Significance Testing: an interactive visualization

Much has been said about significance testing – most of it negative. Methodologists constantly point out that researchers misinterpret p-values. Some say that it is at best a meaningless exercise and at worst an impediment to scientific discoveries. …

Using R and lme/lmer to fit different two- and three- level longitudinal models

I often get asked how to fit different multilevel models (or individual growth models, hierarchical linear models or linear mixed-models, etc.) in R. In this guide I have compiled some of the more common and/or useful models (at least common in …
JUST-OS