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Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.

Propensity Score Weighting in Education Research×Metoda różnic w różnicach (Diff-in-Diff)×
DziedzinaWnioskowanie przyczynoweEkonometria
RodzinaRegression modelRegression model
Rok powstania1983 (theory); widely adopted in education research from 2000s1994
TwórcaRosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypQuasi-experimental causal inferenceCausal inference / panel regression
Źródło pierwotneRosenbaum, 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 ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Inne nazwyPSW in education, inverse probability weighting in education, IPW education, propensity weighting educationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Pokrewne55
PodsumowaniePropensity 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.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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  3. PUBLISHED

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ScholarGatePorównaj metody: Propensity Score Weighting in Education Research · Difference-in-Differences. Pobrano 2026-06-18 z https://scholargate.app/pl/compare