Blog

Understanding Bayes: A Look at the Likelihood

A blog about bayesian statistics

Understanding Bayes: Visualization of the Bayes Factor

An abstract about Understanding Bayes and visualising Bayes Factor

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 …

Visualizing a One-Way ANOVA using D3.js

A blog post and tutorial on visualizing one-way ANOVA

What is a p-value?

Blog post going over the p value, misnomers and what p < .05 means

why p = .048 should be rare (and why this feels counterintuitive)

This post discusses the why p value around .048 should be rare

Why Psychologists’ Food Fight Matters

“Important findings” haven’t been replicated, and science may have to change its ways.