Comparar métodos

	Ponderação por Escore de Propensão em Pesquisa Educacional	Desenho de Regressão por Descontinuidade (RDD)
Área	Inferência causal	Inferência causal
Família	Regression model	Regression model
Ano de origem	1983 (theory); widely adopted in education research from 2000s	2008
Autor original	Rosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011)	Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction)
Tipo	Quasi-experimental causal inference	Quasi-experimental causal design
Fonte seminal	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.	Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635.
Outros nomes	PSW in education, inverse probability weighting in education, IPW education, propensity weighting education	RDD, regression discontinuity design, sharp RDD, fuzzy RDD
Relacionados	5	5
Resumo	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.