Data sgp is an information database that can assist educators with pinpointing student growth issues. Data SGP analyzes state assessment data in order to generate value added percentiles – a measure of students’ academic performance that is designed to provide an accurate picture of their progress toward meeting official achievement targets/goals. This measurement is particularly valuable in states that have set timelines for reaching proficiency, as it shows schools’ efforts to meet those objectives despite competing priorities and resources.
Using data sgp requires understanding the data that is available and the steps involved in performing an analysis. This is a fairly complicated process that can be difficult for those unfamiliar with data analytics. OSPI staff stands ready to offer training and assistance in this process.
To use data sgp, you will need a computer with the R software environment installed on it. R is free and open source with numerous online resources to help newcomers get started. The bulk of the work to prepare and run a SGP analysis is in the preparation of the data – not the actual calculation.
In addition to statewide performance data, data sgp also compiles geochemical data that provides insight into Earth history. This effort includes assembling and generating multi-proxy data from sedimentary rock for each Paleozoic time slice. This is similar to the way in which our SGP team assembles student growth information, but on a much more scale and in a very different context.
How does the data sgp website work?
The sgpData site is an interactive web application that displays student-level growth data. This information is provided for each enrolled student in Wisconsin in grades 4th through 11th. The sgpData site also contains additional performance and demographic information such as class size, race/ethnicity, gender and socioeconomic status.
To navigate sgpData, users must first create an account. Once a user has created an account, they can view their own SGP data along with the growth percentiles of other students in their school and district. Users can also filter and sort the sgpData data by various filters and criteria.
SGP is calculated by comparing the current grade-level test score of a student to their previous grade level test score. The resulting percentile indicates how far a student has to grow in order to reach their target score (i.e. the percentage of students they must outperform to achieve their goal).
To perform an SGP calculation, users must have access to at least five years of student test data. The data sgpData tool is designed to allow users to select up to 5 years of student assessment data and calculate SGP. The first column, ID, provides the unique student identifier. The next columns, SS_2013, SS_2014, SS_2015, SS_2016, and SS_2017, provide the student’s test score from each of the last five years. The final column, SS_INSTRUCTOR_NUMBER, provides the instructor for each of these years.
Note that mean SGPs are not used in the Wisconsin accountability system, as value-added scores are required under state law. However, the SGPs displayed in sgpData are comparable to mean value-added percentiles.
