After the day

The part of the day on tools can only introduce each layer, and the companion curriculum takes each one further.

If you want	Read
The document format in full: the header, chunk options, figures, tables, cross-references and citations	Quarto and reproducible documents
Version control from first principles, and a repository of your own online	Git and GitHub
Where finished work is deposited, what a licence allows others to do with your work, the Open Science Framework after 2026, and the preregistration templates	Reproducibility repositories
Where the data come from: the archives, survey programmes and statistical offices, and the sources used by the course, step by step	Social science data sources
To turn your own GESIS downloads into the respondent file, the scales and the panel	Building the analysis file
The IDE in depth, and the differences between the three	Positron, RStudio and VS Code
The rest of R, from the first line to a grammar of graphics	Getting started with R
The statistics behind what you fitted, output by output	The statistical methods behind the course
The ideas behind the multiverse, and the arguments against it	The multiverse and its critics

The replication-focused day is the original balance of this course, the methods-focused day gives the statistics the time that this day gives the tools, and the three-day format does both, with a tools day before the workshop and a methods day after it.