Resources

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could have a lasting impact on people’s opinions about gay marriage – but left readers disappointed when it was retracted only months later, after …

Visual comics about significance testing

A website detailing spurious correlations

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. …

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 …

A blog post and tutorial on visualizing one-way ANOVA

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

Pre-registration of clinical trials is associated with fewer positive findings

Blog post going over the replication crisis and how it has led to the open science movement.

Dashboards for data visualisation, such as R Shiny and Tableau, allow an interactive exploration of data by means of drop-down lists and checkboxes, with no coding for the user. The apps can be useful for both the data analyst and the public.