stateData

A list containing information on state assessment programs, organized by state. Currently the list contains achievement level cutscores and labels for the state assessments, 
assessment name and abbreviation, growth cutscores and labels, information on vertical scaling, and knots and boundaries currently being used for SGP analyses
at the state level. The cutscores, in particular, are used by the <code><a href="/link/studentGrowthProjections?package=SGP&version=0.0-8.5" rd-options="" data-mini-rdoc="SGP::studentGrowthProjections">studentGrowthProjections</a></code> function to calculate growth-to-standard/projection 
values by supplying a state's two letter acronym to the argument <code>performance.level.cutscores</code>. In the future, this list will expand to include other relevant data 
about the state assessment system. States currently included in the data set are Arizona (AZ), Colorado (CO), Connecticut (CT), Idaho (ID), Indiana (IN), 
Maine (ME), Massachusetts (MA), Missouri (MO), Nevada (NV), New Hampshire (NH), New Jersey (NJ), New York (NY), Rhode Island (RI), Vermont (VT), Virginia (VA), West Virginia (WV), 
Wisconsin (WI) and Demonstration (DEMO).

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.

stateData function

State assessment data and technical assessment documentation

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

Description

Usage

Arguments

source

See Also