Data Sgp uses longitudinal student assessment data to produce statistical growth plots (SGP), which measure students’ relative progress relative to their academic peers. An integral component of SGP methodology is its ability to specify both achievement targets and progress progressile analyses, providing students with insight into what progress needs to be made toward reaching their goal.
At our school, we measure SGPs by looking at each student’s MCAS test score history. An SGP score indicates the percentage of students that performed worse than them on previous MCAS exams, so higher numbers indicate greater relative performance and represent increased relative growth; SGP scores range from 1-99 with higher numbers representing greater relative growth; these calculations can be done for any subject and grade level – such as ELA and mathematics results from grades 4-8 or WKCE or Forward Exam data in grades 3-5 respectively.
Students’ SGP scores are compared with their prior year’s test scores for each subject in order to provide a measure of how well they have improved over the course of the school year. Students are then ranked according to both their SGP score in their class as well as across all classes; teachers and administrators can quickly see if one student is outperforming another within that grade or classroom.
Teachers and administrators can also use growth percentile analysis to gauge whether students’ growth meets achievement targets, by comparing a student’s SGP score against their targeted growth percentage target.
SGPs are calculated for students in grades 4, 5, 6 7, and 8. Their SGP score represents their performance on the MCAS exam when compared to similar prior test scores; for instance, if their SGP is 75 this indicates they outscored 75% of their academic peers who previously took this exam.
SGPdata allows teachers to assess student performance through its anonymous teacher-student lookup table that associates instructors with individual students’ test records, providing insight into how different instructors influence MCAS performance for their pupils. Therefore, educators are advised to spend some time formatting SGP column headings and reviewing data consistency prior to running any analyses. This will ensure that their analyses will be as useful and accurate as possible. To do this, select the cell where headings will be displayed and enter “SGP Calc” as its format. Next, type in your selected analysis formula into this cell – which should prompt the software to calculate and display SGP results within minutes or two! After these preliminary steps have been completed successfully, you can begin using your SGP data effectively.