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Join us for a comprehensive workshop focused on evidence-based evaluation in education, hosted by the Education Endowment Foundation (EEF). Taking place on June 2nd in York and June 6th in London, this event will cover essential topics including the design and adaptation of studies, calculating effect sizes, and the nuances of cluster-level analysis. Participants will benefit from expert insights from Carole and David Torgerson, alongside practical sessions on multilevel models and simulation studies. Connect with peers and enhance your evaluation skills at this pivotal workshop.
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Building Evidence in Education:Workshop for EEF evaluators2nd June: York6th June: Londonwww.educationendowmentfoundation.org.uk
The EEF by numbers 34topics in the Toolkit 2,300 schools participating in projects 500,000pupils involved in EEF projects 14 members of EEF team 6,000heads presented to since launch £210mestimated spend over lifetime of the EEF 16independent evaluation teams 83 evaluations funded to date 10 reports published
Session 1: DesignAdapting DesignCarole Torgerson (Durham) David Torgerson (York Trials Unit)Calculating effect sizesAdetayoKasim (Durham)
Calculating Effect Sizes for Cluster Randomized Trials Adetayo Kasim
Main Points • Over estimation of effect size when CLUSTER LEVEL ANALYSIS is used. • Disconnection between hypothesis testing and effect size from MULTILEVEL MODELS
Calculating Effect Size • Cluster level analysis (CLA) - Two stage approach • Summarise data to cluster level • Calculate effect size using summarised data • Multilevel models (MLM) • Analyse pupils level data, but accounts for intra cluster correlation • Calculate effect size using WITHIN cluster variability
Calculating Effect Size • Illustration 1: Simulation study
Calculating Effect Size • Simulation 1: MEAN, SE and SD • MEAN(SD) from 10,000 simulated data
Calculating Effect Size • Simulation 2: Calculating effect size assuming within cluster variance • MEAN(SD) of Hedges Effect Size from 10,000 simulated data
Calculating Effect Size • Cluster level analysis may overestimates effect size when between variability is negligible and there is substantial variability within clusters • Effect sizes based on within cluster variance and total variance from multilevel model are comparable when between cluster variance is negligible • Using only within cluster variance could result in different conclusions based on effect sizes and hypothesis testing when there is a substantial variability between clusters
Discussion Cluster level analysis • OR Within cluster Variance from multilevel model • OR Total variance from multilevel model ?
References • Tymms P., Merrell C. and Henderson B. (1997) The first year at school: a quantitative investigation of the attainment and progress of pupils. Educational research and Evaluation, 3(2), pp. 101 - 118 • Larry V. Hedges (2007) Effect sizes in cluster-randomized designs. Journal of Educational and Behavioural Statistics, 32(4), pp. 341-370 • A. Brand, M.T. Bradley, L.A. Best, G. Stoica (2008) Accuracy of effect size estimates from published psychological research. Perceptual and Motor Skills, 106 (2) (2008), pp. 645–649