Measurement and DAGs
- The witch trial scene from Monty Python and the Holy Grail
- Chapter 5 in Evaluation: A Systematic Approach Peter H. Rossi, Mark W. Lipsey, and Gary T. Henry, Evaluation: A Systematic Approach, 8th ed. (Los Angeles: Sage, 2019). This is available on iCollege.
- Julia M. Rohrer, “Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data” Julia M. Rohrer, “Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data,” Advances in Methods and Practices in Psychological Science 1, no. 1 (March 2018): 27–42, doi:10.1177/2515245917745629. This will be posted on iCollege.
- Section 2 only (pp. 4–11) from Julian Schuessler and Peter Selb, “Graphical Causal Models for Survey Inference.” Julian Schuessler and Peter Selb, “Graphical Causal Models for Survey Inference,” Working Paper (SocArXiv, December 17, 2019), doi:10.31235/osf.io/hbg3m. The PDF is available at SocArXiv.
- “Directed acyclical graphs” in Causal Inference: The Mixtape Scott Cunningham, Causal Inference: The Mixtape, 2018, https://www.scunning.com/mixtape.html.
DAG example page
- The example page on DAGs shows how to draw and analyze DAGs with both dagitty.net and R + ggdag
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