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Akansha Singh; Germaine Uwimpuhwe; Dimitrios Vallis; Nasima Akhter; Tahani Coolen-Maturi; Steve Higgins; Jochen Einbeck; Martin Culliney; Sean Demack – Education Endowment Foundation, 2023
The aim of this study was to investigate and empirically derive parameters commonly used for statistical power and sample size calculations to better inform future trial design. Towards achieving this aim, the research project leveraged the richness of the National Pupil Database (NPD) and the Education Endowment Foundation (EEF) Archive to: (1)…
Descriptors: Foreign Countries, Statistical Analysis, Sample Size, Educational Research
Timothy Lycurgus; Ben B. Hansen; Mark White – Grantee Submission, 2022
We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of change. Intervention studies using longitudinal data often include multiple observations on individuals, some of which may be more likely to manifest a treatment effect…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Quasiexperimental Design, Intervention