What Is Data SGP?

Data SGP is essential in providing a holistic picture of student learning. It enables educators to make informed decisions regarding instructional interventions and programs designed to support each individual learner at their individual pace. Administrators also utilize this data when accelerating programs so that most of their students reach their achievement goals on schedule without being “held back” by small percentages who may fail to make enough progress.

An SGP score for any student is determined by comparing their current assessment score against that of other students within their grade level and content area. A student’s scale score must increase over time in order to meet achievement targets – for instance if their current scale score is 300 but they need 500 by graduation day, their SGP must increase by 100 points annually over four years.

SGPs can be invaluable tools for educators as they develop student-centric teaching and learning plans (SLOs) for their students. By showing educators exactly how much of an improvement each student must make to achieve their goal, SGPs provide all of the data they need to create personalized plans that support them making required strides toward reaching it.

SGP results provide educators an opportunity to review student growth data, while parents gain a more complete picture of their child’s learning and achievement progress. For more information about its implementation in Wisconsin visit Academic Growth’s webpage.

To conduct SGP analyses effectively, longitudinal student assessment data must be available for every student in LONG format – which is typically preferred. The SGP package offers WIDE format data sets which mimic time dependent data used with its functions such as studentGrowthPercentiles and studentGrowthProjections while LONG formats help facilitate conversion to this more common format – thus making operational analyses simpler when dealing with LONG data sets.

This data set contains anonymized assessment data on each student in Wisconsin. It includes fields for valid case, content area, year, ID, SCALE_SCORE, GRADE and ACHIEVEMENT_LEVEL (only required when running student growth projections). ID provides the unique student identifier for each assessment record while fields SS_2013 to SS_2016 provide scale scores from past five assessments – missing values will appear as NA. Please consult the SGP data analysis vignette for more comprehensive documentation regarding using this data with SGP analyses; this data set will be updated annually.