Effect Size Calculator for Studies of Science Education Interventions

The purpose of this calculator is to provide intervention researchers in science education with an empirically-based effect size estimate for use in a priori power analyses. The predicted effect size values provided by this calculator are generated using a meta-regression model that was fit to 292 effect sizes nested within 96 science education studies, using the R subroutine called robumeta.

This Shiny App uses the robumeta package in R from Zachary Fisher, Elizabeth Tipton and Zhipeng Hou. (2016). robumeta: Robust Variance Meta-Regression. R package version 1.8.and the clubSandwich package in R from James E. Pustejovsky & Elizabeth Tipton (2017) Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models, Journal of Business & Economic Statistics, DOI: 10.1080/07350015.2016.1247004 https://CRAN.R-project.org/package=robumeta