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Penimbang Skor Kecenderungan dalam Penyelidikan Pendidikan×Kaedah Pemboleh Ubah Instrumental (IV) untuk Inferensi Kausal×
BidangInferens KausalEkonomi Kesihatan
KeluargaRegression modelProcess / pipeline
Tahun asal1983 (theory); widely adopted in education research from 2000s1990s (modern applications)
PengasasRosenbaum & Rubin (foundational theory, 1983); Thoemmes & Kim (education-focused review, 2011)Angrist & Pischke (applied econometrics); rooted in econometric theory
JenisQuasi-experimental causal inferenceMethod
Sumber perintisRosenbaum, 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: Princeton University Press. link ↗
AliasPSW in education, inverse probability weighting in education, IPW education, propensity weighting educationIV, two-stage least squares, TSLS, causal estimation
Berkaitan53
RingkasanPropensity 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.Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes.
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ScholarGateBandingkan kaedah: Propensity Score Weighting in Education Research · Instrumental Variables in Health Research. Dicapai 2026-06-20 daripada https://scholargate.app/ms/compare