CenterForAssessment / SGP

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.

SGP

Overview

The SGP Package is open source software built for the R software environment. The classes, functions and data within the SGP package are used to calculate student growth percentiles and percentile growth projections/trajectories using large scale, longitudinal assessment data. Quantile regression is used to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the derived coefficient matrices and show the percentile growth needed to reach future achievement targets.

Installation

From CRAN

To install the latest stable release of SGP from CRAN

> install.packages("SGP")

From Github

To install the development release of SGP from GitHub:

> devtools::install_github("CenterForAssessment/SGP")

Resources

• SGP GitHub Pages
• CRAN Repo
• Norm- and Criterion-Referenced Student Growth

Contributors

The SGP Package is crafted with ❤️ by:

• Damian Betebenner
• Adam R. Van Iwaarden
• Ben Domingue
• Yi Shang

We love feedback and are happy to answer questions.

References

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2024). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Core Team (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.