The Secret Weapon: Fitting a statistical model repeatedly on several different datasets and then displaying all these estimates together.
The Superplot: Line plot of estimates in an interaction, with circles showing group sizes and a line showing the regression of the aggregate averages.
The Folk Theorem: When you have computational problems, often there’s a problem with your model. …
Alabama First: Howard Wainer’s term for the common error of plotting in alphabetical order rather than based on some more informative variable.
The Taxonomy of Confusion: What to do when you’re stuck.
The Blessing of Dimensionality: It’s good to have more data, even if you label this additional information as “dimensions” rather than “data points.”
Scaffolding: Understanding your model by comparing it to related models.
Multiple Comparisons: Generally not an issue if you’re doing things right but can be a big problem if you sloppily model hierarchical structures non-hierarchically.Taking a model too seriously: Really just another way of not taking it seriously at all.