Data sgp is the collective of aggregated student performance data collected over time that teachers and administrators use to make decisions about instruction and assessment. It includes both individual-level measures like test scores and growth percentiles as well as aggregated school/district level metrics such as graduation rates and class size.
The primary goal of data sgp is to provide educators with tools that will help them accurately assess students’ progress and understand how to best support each child in their classrooms. This is achieved through longitudinal data analysis and the creation of a set of standard student growth percentiles (SGP) that are based on a student’s prior test score and the percentage of students with similar prior scores who have shown a positive SGP (in other words, they have made sufficient growth to move “inside the curve”).
These percentiles serve as a better way to communicate a student’s achievement levels than traditional measures such as mean and median scores. In addition, these percentiles allow educators to identify students who need additional support as well as identify high performing students and monitor their progress over time.
Data SGP analyses are designed to be simple and easy to use. The bulk of the effort is spent preparing data for SGP calculations, and once this is complete, the actual analyses are very straightforward. Using these tools requires access to longitudinal (time dependent) student assessment data in WIDE format and the creation of an exemplar panel data set for future analyses. The exemplar data set will contain variables that are the same across all SGP analyses and will be used for all lower level functions such as studentGrowthPercentiles and studentGrowthProjections.
The exemplar panel data set contains five years of annual, vertically scaled, assessment data for each student in the district. This data set models the format of data needed for SGP calculations and is provided with the sgpData package as an example. The sgpData package also provides long formatated data sets sgpData_LONG and sgpData_INSTRUCTOR_NUMBER (anonymized lookup tables which associate an instructor to each test record in the wide sgpData) which can be used for future SGP analyses.
The SGP website is home to a variety of data collections and resources that are open for use by researchers around the world. These include a continuously maintained long-term data archive, a collection of meteorological and climate data and simulations available for download, and an array of supporting software and tools that facilitate the preparation, manipulation and analysis of the data. The site also hosts a series of guest instruments from other organizations for multi-observation process studies, as well as data and model assimilation into earth system models. This combination of datasets provides the opportunity for a broad range of research applications including single observation analyses, multi-observation process and modeling studies, as well as global data synthesis.
