An introduction to graphical causal models.
Ben Goodrich discusses graphical causal models and how to use them to verify if a theory estimates causation. Graphical causal models help encode theories, which can aid in understanding their implications. Goodrich discusses conditioning variables, the DAGitty app, and how to verify estimations.
Saved in:
Format: | Electronic Video |
---|---|
Language: | English |
Published: |
London, United Kingdom :
SAGE Publications Ltd,
2017.
|
Subjects: | |
Online Access: | CONNECT |
Similar Items
-
Counterfactuals and causal inference : methods and principles for social research /
by: Morgan, Stephen L. 1971-, et al.
Published: (2007) -
Counterfactuals and causal inference : methods and principles for social research /
by: Morgan, Stephen L. 1971-
Published: (2007) -
Integrated inferences : causal models for qualitative and mixed-method research /
by: Humphreys, Macartan, et al.
Published: (2023) -
The SAGE handbook of quantitative methodology for the social sciences /
Published: (2004) -
Causal modeling /
by: Asher, Herbert B.
Published: (1976)