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Matthew McBee evaluates the issue of causal inference in quantitative research, while providing guidance on how to apply these analyses to your data, discussing key concepts such as:
- Directed acyclic graphs (DAGs)
- Rubin's Causal Model (RCM)
- Propensity Score Analysis
- Regression Discontinuity Design
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