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Welcome to the PARCC SGP Analysis Wiki. This wiki supplies technical details associated with the calculation of student growth percentiles and percentile growth trajectories ('projections') from PARCC state assessment data using the R Software Environment in conjunction with the SGP Package. If you are new to R or SGP analyses in general, a better place to start is with an overview of R and the SGP Package.

Broadly, the SGP analysis of PARCC data involves five steps:

1. SGP Package Preparation
2. Data Preparation
3. Identify Course Progressions and Specify Analysis Configurations
4. Data Analysis
5. Data Output

Those familiar with data analysis know that the bulk of the effort in the above process lies with Step 2: Data Preparation. Following thorough data cleaning and preparation, data analysis using the SGP Package takes clean data and makes it as easy as possible to calculate, output, and visualize the results from SGP analyses.

The PARCC repo on GitHub contains SGP analysis source code associated with analyses for the entire PARCC Consortium as well as the member states: Colorado, Illinois, Maryland, Massachusetts, New Jersey, New Mexico, Rhode Island and Washington DC.