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Sensitivity analysis for causality in education research

Sensitivity analysis for causality in education research tests how robust a quasi-experimental finding is to unmeasured confounding. Rather than assuming all bias has been removed, it quantifies how large a hidden bias would need to be to overturn a causal conclusion — a critical safeguard when randomisation is impossible, which is common in educational settings.

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Sensitivity Analysis for Causal Inference in Education Research

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

Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. · ISBN 978-0387989679
Briggs, D. C. (2008). Using meta-analytic results to inform causal claims about the effects of educational interventions. Journal of Research on Educational Effectiveness, 1(3), 148-175. · URL

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Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Same method familyInterrupted Time Seriesmachine-suggested · Relational suggestion, not evidence.Same method familyMatching Methodsmachine-suggested · Relational suggestion, not evidence.See alsoPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.Same method familyRegression Discontinuitymachine-suggested · Relational suggestion, not evidence.