Causal research designs and analysis in education
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12564-024-09988-9.pdf
Reference15 articles.
1. Anglin, K., Liu, Q., & Wong, V. C. (2024). A primer on the validity typology and threats to validity in education research. Asia Pacific Education Review. https://doi.org/10.1007/s12564-024-09955-4
2. Cham, H., Lee, H., & Migunov, I. (2024). Quasi-experimental designs for causal inference: An overview. Asia Pacific Education Review. https://doi.org/10.1007/s12564-024-09981-2
3. Chan, W. (2023). Propensity score methods for causal inference and generalization. Asia Pacific Education Review. https://doi.org/10.1007/s12564-023-09906-5
4. Corral, D., & Yang, M. (2024). An introduction to the difference-in-differences design in education policy research. Asia Pacific Education Review. https://doi.org/10.1007/s12564-024-09959-0
5. Cunningham, S. (2021). Causal inference: The mixtape. Yale University Press.
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