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SGP (version 0.0-8.0)

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

1,446

Version

0.0-8.0

License

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

Maintainer

Damian Betebenner

Last Published

May 8th, 2011

Functions in SGP (0.0-8.0)

combineSGP

Combine student data and SGP results
prepareSGP

Prepare data for SGP analyses
studentGrowthPercentiles

Student Growth Percentiles
sgpData_LONG

Longitudinal Student Assessment Data in LONG format
abcSGP

Perform 4 step sequence: prepareSGP, analyzeSGP, combineSGP, and summarizeSGP
SGP-package

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

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

Student Growth Projections
viewSummaryGroups

analyzeSGP

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

Longitudinal Student Assessment Data
bubblePlot

bubblePlot for SGP
stateData

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

Create a student growth and achievement chart