The SGP Data Set
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An SGP score measures relative student growth over two years of MCAS data and compares student performances against academic peers with similar prior scores. SGPs are reported on a scale from 1-99; where higher numbers indicate greater relative progress. They are shared with teachers, schools and districts each spring after completion of state assessments.
SGPs are calculated through a statistical process that compares each student’s MCAS scores against those of academic peers from their grade, school and district who have taken MCAS exams in the past. A quantitative regression technique determines what percentile a given score falls in relation to those peers; that percentile then forms the basis of an SGP report.
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Schools, districts and their subgroups benefit from having normative SGPs across the state, but this also means their average SGPs may fluctuate more due to having more available data samples.
sgpData_LONG is an anonymized, panel data set consisting of 8 windows (3 windows annually) of assessment data in LONG format for 3 content areas, providing an example of data used by lower level SGP functions studentGrowthPercentiles and studentGrowthProjections. When conducting SGP analyses it is generally best practice to manage your long formatted data as this will reduce preparation and storage requirements for analysis purposes.
When interpreting SGPs, it’s essential to keep in mind that individual percentile rankings are calculated annually; differences between years may not necessarily reflect meaningful change and should be treated with caution. As the change can be due to various experiences throughout a year, it is vital that each student’s SGP be examined against their overall experiences before and after taking the test in order to accurately pinpoint significant shifts; any difference of less than 10 points should not be considered meaningful changes.