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In spring 2024, students’ performance on MCAS tests will be compared to that of their academic peers. Academic peers are identified from students who took the same grade level MCAS test in previous years; these peers don’t need to share similar student subgroup characteristics such as race/ethnicity/income status or sheltered English immersion participation. Quantile regression provides a statistical tool for measuring academic peer performance on an objective normative scale, making it possible to compare student’s results relative to that of their academic peers.
Students with high raw scores on past MCAS exams may notice that it takes more effort for them to maintain high achievement levels than it would for other students to make similar growth. This makes sense as each student’s proficiency level required for scoring at each score varies significantly; to address this challenge, SGPs use quantile regression, which compares each raw score against others on an normative scale and then calculates Student Growth Percentiles accordingly.
No matter where students have fallen on their proficiency journey, their SGPs provide insight into what growth trajectory needs to take place in order to reach or maintain proficient status on future assessments. Updated frequently so their projections reflect current data available.
Parents should share SGPs of students who are meeting or exceeding expectations with educators for an accurate picture of student performance. Furthermore, educators should review their own SGPs as part of professional evaluations or Professional Learning Plans (PLP). School and district administrators may wish to utilize student growth information as part of their continuous improvement initiatives. This article will detail how to use SGP data tools to access individual student growth reports. To access this data, log in to the BAA Secure Site and select “SGP” under Reports on the Student List. A pop-up window will provide options to select students you’re interested in viewing before leading you directly to their report page containing data for that student. To download individual reports, press “Download”. Files will automatically be saved as PDFs to a folder labeled Goodness of Fit Figures on your computer and can then be opened and printed by clicking on them; or choose False option in drop-down menu for printing the Goodness of Fit figures instead.