Data SGP provides essential information for students, parents, educators and administrators alike. It gives educators’ data teams a complete picture of student learning and performance while informing curriculum development, instructional methods and professional development programs.

The Data SGP database is updated and maintained regularly by the state, providing high school students with growth data they can view in their Profile/Growth dashboards. This data does not reflect assessment scores used during testing but rather measures each student’s progress toward meeting grade level standards in each content area; its scale range is from 0-100 for graphing purposes but does not correspond with actual assessment scores.

To use and run analyses with this software, a computer with R installed is needed. R is freely available for Windows, Mac OSX and Linux operating systems and can be downloaded from CRAN. To utilize the data sgp package you will require knowledge of R programming language which can be found easily online; if this is your first time with it it would be advisable to spend some time learning about its syntax before undertaking analyses using SGP software.

An excellent place to begin when learning SGP analysis is by reviewing its documentation and example plots in depth, along with any R tutorials available online. In order to conduct SGP analyses you require either WIDE or LONG data formats – lower level functions of data sgp package like studentGrowthPercentiles and studentGrowthProjections require WIDE formats while higher-level functions (wrappers for lower level functions) use LONG format instead. It is strongly advised that operational analyses use the latter due to preparation and storage benefits over WIDE data formats!

Every organization needs robust data governance practices that enable auditable compliance with both internal and external mandates. Users across the organization rely on reliable, secure data to reach customers, design products and services to meet customers needs, optimize supply-chain operations, minimize manufacturing costs, seize opportunities for new revenues or seize on opportunities that present themselves – and senior managers need confidence that their decisions are informed by accurate, timely information that underpin their decisions. Without such practices in place, organizations risk incurring fines or losing the trust of customers and business partners alike.