As the name suggests, data sgp is an open source app for providing users with historical Singapore Pools lottery results. With the information provided by this tool, players can make informed decisions regarding their future lottery bets. The app also includes helpful tutorials for beginners and advanced users alike. It is available for download on Windows, Mac, and Linux.
Student growth percentiles (SGP) are calculated based on the performance of a student over time in relation to their academic peers. They can be used to help teachers understand and interpret their students’ learning progress. They can be useful for identifying students that need more or less support to reach proficiency and for making decisions about instruction.
For SGPs, a student’s achievement on the state assessments is compared to their performance relative to a group of academic peers with similar assessment score histories. This peer group is derived from all students in the same grade and subject area who have taken MCAS tests at some point in their school career. These academic peers are selected without regard to any characteristics of the student, such as gender, income or participation in sheltered English immersion or special education programs.
A student’s current SGP is a value between 1-99, with higher values indicating greater relative growth. It is based on the student’s performance on the most recent state assessment and on their performance on one or more prior MCAS tests in that subject.
The current SGP reflects how much the student has grown since they took the last test in the same testing window. It does not necessarily match the school year of the student, which can be different than the test date.
SGPs are based on the performance of students across the state over time. These trends can affect the overall SGP value for a student, especially in years when the state assessment results show a shift away from proficiency. This can be due to a variety of reasons, such as a pandemic or other factors outside of a district’s control.
Educators should share individual SGP data with parents to help explain the growth of their child’s achievement. Schools and districts should also integrate individual SGP data into their educator performance evaluation systems and use it to inform their improvement efforts.
In order to run SGP analyses, a user will need to have a computer with the R software program installed. The lower level functions that do the actual calculations in SGP, such as studentGrowthPercentiles and studentGrowthProjections, require WIDE formatted data. The data inputs required are described in detail in the documentation for prepareSGP.
While SGP is an extremely powerful tool, it can be time consuming to process large data sets. To improve the speed of running SGP analyses, several approximation methods have been developed. Sparse GPs and variational inference both provide ways to model data using a low-rank representation that is computationally efficient. This can be useful for students with large datasets, especially when modeling complex data structures, such as trajectories of student growth.
