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Propensity Score Matching ve vzdělávacím výzkumu×Rozdíl v rozdílech (Diff-in-Diff)×
OborKauzální inferenceEkonometrie
RodinaRegression modelRegression model
Rok vzniku1983 (foundational); education adoption widespread from late 1990s1994
TvůrceRosenbaum & Rubin (1983); widely adopted in education research via Shadish, Cook & Campbell (2002)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TypQuasi-experimental / matching-based causal inferenceCausal inference / panel regression
Původní zdrojRosenbaum, 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
Další názvyPSM in education, educational PSM, PSM for program evaluation in schools, propensity matching educationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Příbuzné55
ShrnutíPropensity Score Matching (PSM) in education research is a quasi-experimental technique that creates comparable treatment and control groups from observational student, teacher, or school data. By balancing groups on observed background characteristics, it enables credible causal estimates of educational interventions — such as tutoring programs, school choice policies, or teacher professional development — when random assignment is infeasible.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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ScholarGatePorovnat metody: Propensity Score Matching in Education Research · Difference-in-Differences. Získáno 2026-06-18 z https://scholargate.app/cs/compare