---
title: "Measurement and DAGs"
date: "2022-09-12"
---

## Readings

### Measurement

- {{< fa brands youtube >}} [The witch trial scene from *Monty Python and the Holy Grail*](https://www.youtube.com/watch?v=yp_l5ntikaU)
- {{< fa book >}} Chapter 5 in *Evaluation: A Systematic Approach* [@RossiLipseyHenry:2019]. This is available on iCollege.
- {{< fa book >}} Chapter 5 in *The Effect* [@Huntington-Klein:2021]

### DAGs

- {{< fa file-pdf >}} Julia M. Rohrer, "Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data" [@Rohrer:2018] This will be posted on iCollege.
- {{< fa file-pdf >}} Section 2 only (pp. 4–11) from Julian Schuessler and Peter Selb, "Graphical Causal Models for Survey Inference." [@SchuesslerSelb:2019] [The PDF is available at SocArXiv.](https://osf.io/preprints/socarxiv/hbg3m/)
- {{< fa book >}} Chapters 6 and 7 in *The Effect* [@Huntington-Klein:2021]

### DAG example page


## Slides