방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 교육 연구에서의 성향 점수 가중치 부여× | 회귀 불연속 설계(Regression Discontinuity Design, RDD)× | |
|---|---|---|
| 분야 | 인과추론 | 인과추론 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1983 (theory); widely adopted in education research from 2000s | 2008 |
| 창시자≠ | Rosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011) | Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction) |
| 유형≠ | Quasi-experimental causal inference | Quasi-experimental causal design |
| 원전≠ | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗ | Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗ |
| 별칭≠ | PSW in education, inverse probability weighting in education, IPW education, propensity weighting education | RDD, regression discontinuity design, sharp RDD, fuzzy RDD |
| 관련 | 5 | 5 |
| 요약≠ | Propensity score weighting (PSW) is a quasi-experimental technique that reweights observational samples so that treated and comparison students look similar on measured background characteristics, allowing credible causal estimates of educational interventions — such as program participation, instructional method, or school type — without random assignment. | Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold. |
| ScholarGate데이터셋 ↗ |
|
|