Why We Should Teach Causal Inference: Examples in Linear Regression With Simulated Data
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-05-01
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| Series: | Journal of Statistics Education |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/10691898.2020.1752859 |