Tag: Models

Should you analyse ordinal data like interval or ratio data?
A couple of months ago, I wrote a summary of a recent paper arguing you shouldn’t analyse ordinal data like interval or ratio. If you do so, there’s a risk of inflated Type I and Type II error rates, as well as reduced power [zotpressInText item=”{VD8XETGZ}”][note]Open access version here[/note]. In response, Helen Wauck wrote a […]

You can’t assume a normal distribution for your data with N>30
The central limit theorem (CLT) is one of the most foundational concepts in all probability (Daly, 2013). It is commonly understood as: when the means of a variable with a suitable number of observations is plotted on a graph, it can form a normal distribution. When the data comes from many independent and random events, the sum […]

Essential R packages for education researchers
The intention behind this is to create an updating well of R resources for scientists who focus on education research. If you have any more suggestions please write a comment below or contact me on social media and I’ll add them. Data manipulation and visualization Tidyverse (Sam Parsons) A collection of packages which allow for comprehensive data […]