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SGP (version 0.0-8.5)

An R Package for the Calculation and Visualization of Student Growth Percentiles.

Description

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.

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Version

Install

install.packages('SGP')

Monthly Downloads

2,114

Version

0.0-8.5

License

CC BY-SA 3.0 US | CC BY-NC-SA 3.0 + file LICENSE

Homepage

http://cran.r-project.org/web/packages/SGP/

Maintainer

Damian Betebenner

Last Published

May 21st, 2011

Functions in SGP (0.0-8.5)

Summarize student scale scores, proficiency levels and student growth percentiles according to user specified summary group variables

viewSummaryGroups

View summary and confidence interval groups that will be used in summarizeSGP

studentGrowthPlot

Create a student growth and achievement chart

Analyze student data to produce student growth percentiles and student growth projections

Prepare data for SGP analyses

studentGrowthPercentiles

Student Growth Percentiles

Longitudinal Student Assessment Data

SGP: An R Package for the Calculation and Visualization of Student Growth Percentiles.

bubblePlot for SGP

studentGrowthProjections

Student Growth Projections

State assessment program data including performance level cutscores for large scale state assessments

Longitudinal Student Assessment Data in LONG format

Combine student data and SGP results

Perform 4 step sequence: prepareSGP, analyzeSGP, combineSGP, and summarizeSGP