Data SGP seeks to aggregate and make available various data sets and datasets used for various purposes. Its structure includes Working Groups focused on specific research questions; working groups have the flexibility of taking on exciting new projects outside their original scope of the Data SGP project.
The data sgp website offers access to an expansive library of geochemical and sedimentary data collected during the Neoproterozoic through Paleozoic periods by SGP members. Furthermore, this library houses publications related to this geochemical data collected. Currently under redesign and anticipated soon with additional features.
How can I use sgpData and other WIDE format data sets with SGP analyses?
Implementing SGP analyses using WIDE format data sets such as sgpData is simple – please refer to the SGP Data Analysis Vignette for more details on how this works.
SGP calculations involve identifying academic peers for a student; these may include any students from Washington State in his or her grade and assessment subject who share statistically similar assessment score paths, providing a measure of growth relative to these academic peers. The sgpData dataset offers five years’ worth of student assessment scores with each column providing unique student ID numbers as well as assessment score information from each year over which we collected assessment scores (a unique student ID is provided as the first column and subsequent columns providing scores from each year since then).
SGP calculations are accomplished using the studentGrowthPercentiles and studentGrowthProjections functions of the SGP package, with operational analyses using abcSGP and updateSGP function wrappers that reduce source code complexity for these lower level functions.
The NJDOE establishes teachers’ mSGP scores through an algorithm that correlates district course roster submission data with SGP teacher performance data. Teachers assigned courses with valid student assessment records may earn mSGP scores for those courses; scores range from 1-99 with higher numbers indicating greater relative growth.
The sgptData_LONG data set is an anonymized LONG format data set with 8 windows (3 annually) of assessment data from three content areas. This dataset is needed for SGP analyses that require student growth projections, as well as providing access to student-instructor lookup tables (sgptData_INSTRUCTOR_NUMBER and student_INSTRUCTOR_NUMBER). It allows teachers and student test records to be linked.
To use sgptData_LONG with SGP, the following seven required variables must be provided in your query: VALID_CASE, CONTENT_AREA, YEAR, SCALE_SCORE, TEACHER_NUMBER and FIRST_NAME (required when running student growth projections). Additional demographic and student categorization variables can also be utilized to facilitate further analyses in sgptData_LONG or other SGP functions.