Regression modelQuasi-experimental / causal inference

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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Sources

  1. Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679
  2. 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. DOI: 10.1080/19345740801982839

Related methods

ScholarGateSensitivity analysis for causality in education research (Sensitivity Analysis for Causal Inference in Education Research). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/sensitivity-analysis-for-causality-in-education-research