Finished reading Principles and Practice of Structural Equation Modeling by Rex Kline 📚.

A good introduction to structural equation modelling, a statistical technique designed to investigate how a set of observed variables and/or an implied construct may causally relate to each other.

Here’s a simple example of a solved SEM from Wikipedia.

This book is as clear an intro as I can imagine there is, although some of the later more advanced topics I admit I rather glossed over. It seems the sort of approach you can likely only master by doing, so I’m looking forward to trying out some of the techniques for real.

It’s also a useful refresher on regression and factor analysis, those being components of many SEMs, for anyone looking to remind themselves what those practices all about.