Data Sgp is an open-source software package developed in R that offers analyses of student growth percentages (SGPs). To use it effectively requires some knowledge of SGP methodology as well as familiarity with its program. Proper data preparation steps must also be followed – failure to do this properly could produce misleading or incorrect analysis results.
SGPs give educators a more accurate picture of student achievement than traditional metrics such as mean, median, and mode scores can. With SGPs they can more easily identify those needing extra assistance as well as those meeting or exceeding grade-level attainment targets and goals – providing tailor-made classroom instruction to these groups of students while monitoring their progression over time.
Sgp analyses focus on academic peers, which can be defined as those students in the same grade and assessment subject who have experienced similar test score growth over multiple years. An academic peer group is then compared with their average peers to create what’s commonly referred to as the curve; each SGP percentile indicates how much growth has taken place since these academic peers last met up with one another.
SGP analysis offers educators more than just information on whether students are growing within or outside of the growth curve; it can also identify those students at risk for not graduating on time as well as underperforming academic subgroups within a school or district. Furthermore, SGP can be used to track how many students have reached target SGP goals as well as determine who are on track with meeting district or state goals.
Teachers can gain access to SGP information from their state education department’s website by registering, then downloading reports tailored to their school or district that reveal how students performed in each subject tested; what percentage fell within and outside of the curve; and the amount of growth required in order to meet target goal scores. Educators can use SGP reports as a resource and guide in meeting student needs effectively.
SGP analysis can be completed using spreadsheet programs; however, for higher level functions like studentGrowthPercentiles and studentGrowthProjections within data sgp it requires WIDE formatted data. To run these analyses you must first have installed two lower level functions on your computer called studentGrowthPercentilesWIDE and studentGrowthProjectionsLONG which come bundled as part of one larger package and run across Windows, Mac OSX or Linux operating systems; there are tutorials available on data sgp website which can guide you through getting up and running; it shouldn’t be too complex given how easily comfortable you already are with spreadsheets!