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Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)

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FInnocenti-Stat/ShinyApp_OD_Univariate_Norming

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This repository contains a R/Shiny app to obtain sample sizes for optimal design for univariate regression-based norming, as described in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106. https://doi.org/10.1037/met0000394)

To run the code you would need:

  1. An installation of R (https://cran.r-project.org/bin/windows/base/)

  2. With a shiny library (install.packages("shiny")).

  3. Then run this code:

    shiny::runGitHub('FInnocenti-Stat/ShinyApp_OD_Univariate_Norming')

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Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)

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