Causal inference with binary treatments from randomization versus binary treatments from categorization

The causal inference methods of potential outcomes (POs), directed acyclic graphs (DAGs), and structural equation models (SEMs) have contributed much to our understanding of causal effects. Yet the teaching and application of these methods (especially POs and DAGs) have nearly always regarded treatm...

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Veröffentlicht in:	Psychological methods 2023-11
1. Verfasser:	Bollen, Kenneth A
Format:	Artikel
Sprache:	eng
Schlagworte:	Causal Analysis Human Inference Structural Equation Modeling
Online-Zugang:	Volltext
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