Causal Inference with Observational Multilevel Data: Investigating Selection and Outcome Heterogeneity

2017 ◽  
pp. 287-308
Author(s):  
Jee-Seon Kim ◽  
Wen-Chiang Lim ◽  
Peter M. Steiner
Keyword(s):  
Causal Inference ◽  
Multilevel Data

Beyond metaphors and semantics: A framework for causal inference in neuroscience

2019 ◽  
Vol 42 ◽  
Author(s):  
Roberto A. Gulli
Keyword(s):  
Causal Inference ◽  
Causal Power

Abstract The long-enduring coding metaphor is deemed problematic because it imbues correlational evidence with causal power. In neuroscience, most research is correlational or conditionally correlational; this research, in aggregate, informs causal inference. Rather than prescribing semantics used in correlational studies, it would be useful for neuroscientists to focus on a constructive syntax to guide principled causal inference.

A Causal Inference Explanation for Multisensory Speech Perception

2013 ◽  
Author(s):  
John F. Magnotti ◽  
Wei Ji Ma ◽  
Michael S. Beauchamp
Keyword(s):  
Speech Perception ◽  
Causal Inference

Causal Inference and Assessing Learning Outcomes Across Multiple Methods: A Primer for International Evaluators in Education

2018 ◽  
Vol 10 (1) ◽  
pp. 219-234
Author(s):  
John H. Hitchcock ◽  
◽  
Anthony J. Onwuegbuzie ◽  
Shannon David ◽  
Anne-Maree Ruddy ◽  
...  
Keyword(s):  
Causal Inference ◽  
Learning Outcomes ◽  
Multiple Methods
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