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SGP (version 0.0-6.4)

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

1,781

Version

0.0-6.4

License

file LICENSE

Maintainer

Damian Betebenner

Last Published

October 21st, 2010

Functions in SGP (0.0-6.4)

studentGrowthPercentiles

Student Growth Percentiles

State assessment data information currrently including only performance level cutscores for large scale state assessments

studentGrowthProjections

Student Growth Projections

Longitudinal Student Assessment Data

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

viewSummaryGroups

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

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

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

Longitudinal Student Assessment Data in LONG format

Prepare data for SGP analyses

Combine student data and SGP results

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