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Coarsened Exact Matching in Education Research

Coarsened Exact Matching (CEM) is a pre-processing matching strategy that reduces imbalance between treated and comparison groups before outcome analysis. In education research it is used to create balanced comparison groups from administrative records, survey data, or quasi-experimental study designs — for example comparing students who received an intervention against comparable students who did not, without relying on randomisation.

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Coarsened Exact Matching for Causal Inference in Education Research

Dossier de méthode taxonomique · regression-model / causal-inference

Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1-24. · DOI 10.1093/pan/mpr013
Morgan, S. L., & Winship, C. (2015). Counterfactuals and Causal Inference: Methods and Principles for Social Research (2nd ed.). Cambridge University Press. · ISBN 978-1107065079

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Méthodes apparentées

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Taxonomic bucketCoarsened Exact Matchingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDifference-in-Differences in Education Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPropensity Score Matching in Education Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRegression discontinuity design in education researchmachine-suggested · Relational suggestion, not evidence.