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

Indicate your study design

Indicate who will receive intervention components

Indicate the science discipline of the intervention

Indicate the developer of the outcome measure

Indicate the highest grade level of students in the study

Indicate the intervention provider’s occupation