Explanation, prediction, and causality: Three sides of the same coin?
Duncan J. Watts(University of Pennsylvania), Matthew Salganik(Santa Fe Institute), Aaron Frank(University of Illinois Urbana-Champaign), Emorie D Beck(University of Illinois Urbana-Champaign), Julia M. Rohrer(Leipzig University), Elisa Jayne Bienenstock(Arizona State University), Jake M. Hofman(Microsoft (United States)), Jake Bowers(University of Illinois Urbana-Champaign)
Cited by 19
Related Papers
Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data
|Advances in Methods and Practices in Psychological Science|2018|1k
Replicability, Robustness, and Reproducibility in Psychological Science
|Annual Review of Psychology|2021|743
The Taboo Against Explicit Causal Inference in Nonexperimental Psychology
|Perspectives on Psychological Science|2020|343
That’s a Lot to Process! Pitfalls of Popular Path Models
|Advances in Methods and Practices in Psychological Science|2022|239
Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets
|Advances in Methods and Practices in Psychological Science|2019|222