This statistics micro-site is focused on researchers and practitioners in human–computer interaction, but it should be of value to those using statistics more generally, especially those in the human sciences.
I have had a statistics micro-site for many years following a series of short courses, in the later 1990s focused on helping more people make sense of statistics. In this new micro-site I will gradually update that material and also add new material especially concerning some of the debates on ‘new statistics’.
Book: Statistics for HCI: Making Sense of Quantitative Data
This is due out in 2020 published by Morgan & Claypool as part of the series Synthesis Lectures on Human-Centered Informatics.
CHI 2017 Course: Making Sense of Statistics in HCI: From P to Bayes and Beyond <see more>
The site initially supported a short course running at CHI 2017 on 10th May 2017, at Denver, USA (with early run before Tiree Tech Wave, Scotland on 22nd March), and the course pages include full videos and notes of this course. The video material will eventually end up (better edited!) as a supported course at Interaction Design Foundation.
Many find statistics confusing, and perhaps more so given recent publicity of problems with traditional p-values and alternative statistical techniques including confidence intervals and Bayesian statistics. This course aims to help attendees navigate this morass: to understand the debates and more importantly make appropriate choices when designing and analysing experiments, empirical studies and other forms of quantitative data. It is intended to fill the gap between the ‘how to’ knowledge in basic statistics courses and deep understanding. You won’t learn a hundred new statistical techniques, but you will find out what those you have heard of and use actually mean.