Elicitation of Priors for Intervention Effects in Educational Trial Data

Zhang, Qing; Uwimpuhwe, Germaine; Vallis, Dimitris; Singh, Akansha; Coolen-Maturi, Tahani; Einbeck, Jochen

Abstract

Effect sizes for educational interventions are commonly small, and hence decisions to re-grant efficacy trials (small trials with homogeneous populations under idealized conditions) as effectiveness trials (larger trials with heterogeneous populations) are often based on limited evidence from the efficacy trial itself. However, supplementary evidence may be available on how (past) effectiveness trials with similar outcomes tend to perform. This work proposes a Bayesian approach of making use of such evidence for re-granting decisions.

Citation

Zhang, Q., Uwimpuhwe, G., Vallis, D., Singh, A., Coolen-Maturi, T., & Einbeck, J. (2024). Elicitation of Priors for Intervention Effects in Educational Trial Data. In J. Einbeck, H. Maeng, E. Ogundimu, & K. Perrakis (Eds.), Developments in Statistical Modelling (28-33). Springer. https://doi.org/10.1007/978-3-031-65723-8_5

• Acceptance Date: Jun 1, 2024
• Online Publication Date: Jul 12, 2024
• Publication Date: 2024
• Deposit Date: Aug 16, 2024
• Publicly Available Date: Aug 16, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 28-33
• Series Title: Contributions to Statistics
• Series ISSN: 1431-1968
• Book Title: Developments in Statistical Modelling
• Chapter Number: 5
• ISBN: 9783031657221
• DOI: https://doi.org/10.1007/978-3-031-65723-8_5
• Keywords: Randomized controlled trial, Multilevel model, Meta-analysis
• Public URL: https://durham-repository.worktribe.com/output/2756630