student-growth-projections
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- SGP
CenterForAssessment / 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.
Language:R 20 State/Nation specific meta data used within SGP analyses and the SGP package with the object SGPstateData
Language:R 4dbetebenner / 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.
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Language:R 2The R package SGPdata contains three data sets utilized by the SGP Package as exemplars for users to set up their own data for SGP analyses.
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Language:R 2SGP scripts for Colorado analyses run for Denver Public Schools
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Language:R 1Assessment Literacy content development via R
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Language:RR package containing baseline matrices for SGP analyses
Language:RRMarkdown and other content related items for creation of reports and documentation
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Language:RSGP analysis source code & documentation
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