Livestream: December 15-17, 2021
Replay Access: 6 months from end of workshop
Instructors: Doug Steinley
Causal Inference is a three-day workshop focused on the application and interpretation of quasi-experimental and graphical models in an attempt to reveal causal structures. The workshop explores the basics of causal inference, including potential outcomes, counterfactuals, confounding, and mediation. The traditional “gold standard” of randomization is discussed as a motivating factor as we evaluate methods for revealing causation in quasi-experimental settings, such as: differences-in-differences, propensity scores, and regression discontinuity. In addition to traditional statistical methodology, we also will focus on graphical approaches such as mediation, directed acyclic graphs, and structural causal models. Participants will learn which approach is likely to be most useful for revealing causal information for their research question
Doug Steinley, Ph.D.
Doug Steinley is a Professor in the Department of Psychology at the University of Missouri. His research and teaching focus on multivariate statistical methodology, with a primary interest in cluster analysis (both traditional procedures and more modern mixture modeling techniques) and social network analysis. Read More
Although this will be the first offering of Causal Inference with our organization, Doug received strong reviews when teaching the class for the Inter-University Consortium for Political and Social Research:
I learned a lot from the course. Professor Steinley is very knowledgeable and well prepared for the lectures. His lectures blend theory, applications and practical tips at the right ratios.
Very great professor and methods class. Definitely the best I've had in 2 years. He explains the content very clearly, lots of examples and great in-between stories that help keep attention.
Very helpful! One bonus of the online materials is being able to easily access them.
The course was great, Doug was great.
Zoom videoconference was really enhanced by the dynamism and storytelling of the instructor
Doug is particularly effective when he shows what is happening graphically/visually within models. We joked about his needing to use the annotations in zoom, but he did a good job. The graphical interpretations are when he was best at explaining what was happening conceptually
Doug communicated clearly and concisely. You know someone is knowledgeable when they have the ability to communicate advanced ideas in an easily digestible way. His teaching style is very approachable and engaging! The technology was accessible and all materials were easily downloadable.
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