An SGP (Student Growth Profile) is a statistic which measures how closely test scores compare to those of their academic peers. Teachers and parents use SGPs as a way of providing an accurate picture of how well each student is doing at school; additionally, SGPs allow schools and states across the country to compare performance against each other using sample student information, making SGPs considered more reliable statistical measures.
Data for SGP are collected and analyzed through a network of specialized computers managed by the National Center for Education Statistics (NCES), a division of the U.S. Department of Education that collects and analyses educational statistics in America; this information helps policy-makers create and assess programs designed to benefit students; specifically it covers early childhood development, elementary and secondary education, postsecondary vocational training programs, adult literacy initiatives as well as adult literacy statistics.
SGP site, situated on 160 acres of cattle pasture and wheat fields southeast of Lamont, Oklahoma, is highly instrumented. Technicians and support staff monitor data from Central Facility instruments as well as from other parts of the site. Analyses range from single observation analyses to multi-observation process studies to assimilation into Earth system models. Scientists often supplement continuous observations by adding guest instruments during field research campaigns or by requesting increased frequency measurements via sonde launches.
SGP provides more than standard outputs; it contains several higher level wrapper functions to perform additional analyses and visualizations of student growth percentiles and projections. These functions utilize either WIDE or LONG data formats; which format to choose depends on many factors including operational considerations as well as publication goals; typically LONG data formats offer greater preparation and storage benefits over their WIDE counterparts.
An SGP practitioner looking to publish their results may opt for LONG format in order to reduce the amount of data transferred over to their web server. A LONG data file would contain only what’s necessary and won’t take up as much space than its WIDE counterpart.
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