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SGP (version 0.0-6.9)

Student Growth Percentile and Percentile Growth Projection/Trajectory Functions

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

4,255

Version

0.0-6.9

License

GPL-3 | file LICENSE

Maintainer

Damian Betebenner

Last Published

March 6th, 2011

Functions in SGP (0.0-6.9)

viewSummaryGroups

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

Student Growth Projections
sgpData

Longitudinal Student Assessment Data
sgpData_LONG

Longitudinal Student Assessment Data in LONG format
abcSGP

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

Prepare data for SGP analyses
analyzeSGP

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

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

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

Functions to calculate student growth percentiles and percentile growth projections/trajectories following methodology found in Betebenner (2008, 2009)
studentGrowthPercentiles

Student Growth Percentiles
combineSGP

Combine student data and SGP results