Regression modelQuasi-experimental / causal inference
教育研究中的倾向得分加权
倾向得分加权(PSW)是一种准实验技术,它通过重新加权观察性样本,使接受处理和对照的学生在已测量的背景特征上看起来相似,从而在没有随机分配的情况下,对教育干预(如项目参与、教学方法或学校类型)进行可信的因果估计。
在 MethodMind 中打开即将推出Apply, compare, get guidance
Tools & resources
Learn & explore
视频即将推出
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- 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: 10.1093/biomet/70.1.41 ↗
- Thoemmes, F. J., & Kim, E. S. (2011). A Systematic Review of Propensity Score Methods in the Social Sciences. Multivariate Behavioral Research, 46(1), 90-118. DOI: 10.1080/00273171.2011.540475 ↗
如何引用本页
ScholarGate. (2026, June 3). Propensity Score Weighting for Causal Inference in Education Research. ScholarGate. https://scholargate.app/zh/causal-inference/propensity-score-weighting-in-education-research
选用哪种方法?
将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
- 双重差分法 (Diff-in-Diff)计量经济学↔ 比较
- 因果推断的工具变量(IV)方法卫生经济学↔ 比较
- 逆概率治疗加权法 (IPW / IPTW)因果推断↔ 比较
- 倾向得分匹配研究统计学↔ 比较
- 回归断点设计 (Regression Discontinuity Design, RDD)因果推断↔ 比较
Similar methods
Inverse Probability Weighting in Education ResearchPropensity Score Matching in Education ResearchPropensity Score WeightingPolicy Evaluation Propensity Score WeightingDoubly Robust Estimation in Education ResearchRobust Propensity Score WeightingPanel Data Propensity Score WeightingCoarsened Exact Matching in Education Research