GitHub - shangyi/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. SystemRequirements: (PDF)LaTeX (http://www.latex-project.org/) with pdfpages package for studentGrowthPlot option in visualizeSGP to bind together student growth plots into school catalogs.

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.

SGP Resources

Web: sgp.io
CRAN Repo: http://cran.r-project.org/web/packages/SGP/

Contributors

The SGP Package is crafted with ❤️ by:

We love feedback and are happy to answer questions.

Install the latest stable release from CRAN

install.packages("SGP")
require(SGP)

Install latest development release from Github

install.packages("devtools")
require(devtools)
install_github("SGP", "CenterForAssessment")
require(SGP)

To install from Github you might need: Windows: Rtools, OS X: xcode (from the app store), Linux: apt-get install r-base-dev (or similar).

To use the SGP Package

The SGP Package Wiki contains instructions on how to prepare data and run SGP analyses.

References

Betebenner, D. W., VanIwaarden, A., Domingue, B., and Shang, Y. (2014). SGP: Student Growth Percentiles & Percentile Growth Trajectories.

R Development Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0.