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Two-predictor screener ShinyApp

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 theoretical), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A Shiny web application released by Shero et al. that lets educators and researchers test arbitrary correlations and cutoff choices for two-predictor academic-risk screening under the authors' probability-density model.

Components

  • Two-predictor screener ShinyApp (two_predictor_screener): A web application released by the authors to accompany the simulation analyses. The article states that "a ShinyApp ( https://jshero.shinyapps.io/two_predictor_screener/) was developed allowing any combination of correlations among the variables to be tested as a screener for any cutoff in the same ways presented in this paper." It extends the paper's fixed grid of progress-monitoring correlations, PGS effectiveness values, and learning-disability cutoffs to arbitrary combinations, and was designed so schools can test screener cut-off choices and usage patterns beyond those analyzed. It operationalizes the paper's probability-density approach for practitioners. (Shero et al. (2021))

Claims

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Key Sources

  • Shero, J., van Dijk, W., Edwards, A., Schatschneider, C., Solari, E. J., & Hart, S. A. (2021). The practical utility of genetic screening in school settings. npj Science of Learning, 6:12. https://doi.org/10.1038/s41539-021-00090-y
Page metadata
Field Value
type product
id two-predictor-screener-shinyapp
title Two-predictor screener ShinyApp
description A Shiny web application released by Shero et al.
status review
product_kind software
generated by process:settle-candidates on 2026-10-26
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