Data sgp is a library of classes and functions that provide methods for analyzing student growth using large scale, longitudinal education assessment data. The library enables users to calculate percentile growth projections and trajectories by estimating conditional density from the data and performing quantile regression. It also provides a set of coefficient matrices for students with 5 or more years of assessment data that can be used to estimate the percentile growth needed to reach future achievement targets.

Sgp is a free, open source software package that can be used to download and analyze longitudinal student growth data. Its main purpose is to support the research and development of statistically based assessment systems for educational purposes, but it can be used for a wide variety of other data analysis tasks. It is designed to be easy to use for researchers with little or no programming experience. It is also intended to be integrated with the statistical graphics toolkit R and will provide data analysis functions that are compatible with other tools in the R ecosystem.

In the sgpData above, the first column, ID, provides the unique student identifier. The next 5 columns, GRADE_2013, GRADE_2014, GRADE_2015, GRADE_2016, and GRADE_2017, provide the grade level of the student’s assessment score in each of the five years. In cases where a student does not have 5 years of test data, the value is missing (NA). The sgpData package provides a wide-format data format for use with SGP analyses. For more information on how to use wide-format data like sgpData with SGP, please consult the SGP data analysis vignette.

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