sgpData_LONG

A dataset comprising a subset of five years of state assessment reading and mathematics data suitable for student growth percentile
and percentile growth projection/trajectory analyses. The dataset is in LONG format with each record representing a unique student, by 
year by content area combination. The example is used examples and illustration in enclosed documentation to show how SGPs can be operationalized
across years with the results being used to produce a variety of high quality visualizations both at the aggregate (e.g., school) and individual level.

datasets

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.

Damian Betebenner

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

sgpData_LONG function

Anonymized student level state assessment data in LONG format

sgpData_LONG: Longitudinal Student Assessment Data in LONG format

Description

Usage

Arguments

source

See Also