teaching

I’ve been working on a series of material around statistical analysis and statistical software. Here are some links to workshops on how to use Jamovi and R.

How to use Jamovi - a fantastic new-ish point-and-click statistics client. It’s free, and it’s a great option for people who are used to SPSS. It’s built on R and has lots of great features and can be extended via packages (like R). There are a handful of missing core features, like dealing with missing data, but for most purposes, it’s a fantastic program.

R (and RStudio) workshop 1 - the basics, from installing the software, to setting up projects, to installing and using packages, to opening data, to running descriptives and some basic statistical analyses, and a preview of some advanced functions. This also includes a section on some good practice in R.

R (and RStudio) workshop 2 - an overview of some more advanced functions or interesting packages. This starts with some revision about how to use R, including some recoding. Then, it touches on using RMarkdown, text analysis (i.e., something other than just plain quant data), scraping information from websites (i.e., another way to get data beyond recruiting participants), and examples of awesome plots available via ggplot2.

Thanks to Professor Tania Signal and Associate Professor Grace Vincent for facilitating these workshops.