Data sgp is a software package used to calculate student growth percentiles and projections/trajectories from large scale, longitudinal education assessment data. This can include scores from standardized tests, portfolios or grading scales. It can also be used to compare student performance across schools or districts. This can help identify students who may be at risk of not reaching their academic potential and provide them with the support they need. It can also help evaluate current educational systems and identify ways of improving them.
The data sgp project is an ongoing effort to collect, process and share scientifically valuable data on student achievement and growth. The project provides a unique opportunity to study the impact of a variety of factors in student success, including teacher quality, school environment, and access to resources. This information can be used by educators to improve the quality of teaching and learning in our country’s schools, as well as to identify high performing students and provide them with targeted interventions. It can also be used to narrow the gap between high and low performers so that resources can be directed towards those who need it most.
Located on 160 acres of cattle pasture and wheat fields southeast of Lamont, Oklahoma the SGP observatory contains a central facility with several instruments and several smaller unstaffed facilities at various points throughout the site. Observations can be obtained from the central facility year round and are supplemented with visits by research scientists during field research campaigns. Data is collected for a wide variety of atmospheric research purposes ranging from single observation analyses, to multi-observation process studies, to assimilation into Earth system models.
The sgpData dataset is an anonymized panel data set of student assessment results in long format for 8 windows (3 windows annually) across 3 content areas (Early Literacy, Math and Reading). The first five columns (ID, GRADE_2013, GRADE_2014, GRADE_2015, and GRADE_2016) provide the student’s unique identifier, their grade level at each assessment in that year, and the scale score associated with that assessment. The remaining variables – sgpdata_INSTRUCTOR_NUMBER, sgptData_INSTRUCTOR_YEAR, and sgpdata_STUDENT_CATEGORIES – are demographic/student categorization variables that are used by the summarySGP function to create student aggregates. Using wide-format data like sgpData with the SGP package is, in general, straight forward. Please consult the SGP data analysis vignette for more comprehensive documentation on how to use sgpData and WIDE data formats in general for SGP analyses.