After the day

A single day has room for the exercise and very little else. The companion curriculum covers the material that the day can only mention in passing, in sixteen modules that each stand on their own, so take the one you need and leave the rest.

If you want	Read
The ideas behind what you just did, and the arguments now being made against them	The multiverse and its critics, then Reading a specification curve again with your own dot in mind
Every model on the menu, output by output	The statistical methods behind the course
The graph work at a slower pace, and a graph for a question of your own	Causal graphs
To archive and version the report you wrote	Reproducibility repositories, then Git and GitHub
To find the data for a project of your own, or to obtain the data behind this one	Social science data sources
The measurement decisions that the menu opened	Weights, Missing answers and The items behind the scales
Data generated from known values, to test what a method recovers	Simulation as a method
The same claim at the individual level	The individual level

The other formats of the course cover the same case at other lengths: the tools-focused day and the methods-focused day rebalance this one, the three-day format adds a tools day before it and a methods day after, the semester format spreads it across a term, and the self-study track is worked alone, at your own pace.