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शिक्षा अनुसंधान में प्रवृत्ति स्कोर भारण×उपचार भारण की व्युत्क्रम प्रायिकता (IPW / IPTW)×
क्षेत्रकारणात्मक अनुमानकारणात्मक अनुमान
परिवारRegression modelRegression model
उद्भव वर्ष1983 (theory); widely adopted in education research from 2000s2000
प्रवर्तकRosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011)Robins, Hernán & Brumback
प्रकारQuasi-experimental causal inferenceCausal inference weighting estimator
मौलिक स्रोतRosenbaum, 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 ↗Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology, 11(5), 550-560. DOI ↗
उपनामPSW in education, inverse probability weighting in education, IPW education, propensity weighting educationIPW, IPTW, inverse probability of treatment weighting, marginal structural model weighting
संबंधित55
सारांशPropensity 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.Inverse Probability Weighting is a causal-inference method that assigns each observation a weight equal to the inverse of its probability of receiving the treatment it actually received. Introduced by Robins, Hernán and Brumback (2000) for marginal structural models, it builds a pseudo-population in which treatment is independent of measured confounders, balancing selection bias.
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  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Propensity Score Weighting in Education Research · Inverse Probability Weighting. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare