The only thing that can stop bad causal inference is good causal inference
Julia M. Rohrer(Leipzig University), Richard McElreath(Max Planck Society), Stefan C. Schmukle(Leipzig University)
Cited by 3
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