Data SGP provides educators with tools that allow them to monitor students’ progress towards achievement targets. By giving teachers an immediate snapshot of student progress, these tools assist with making more informed decisions in their classrooms and serving as an effective means of conveying to stakeholders that proficiency must be reached within an established timeframe.
Educators must incorporate the data sgp into their planning process to identify areas in which students excel and those that require improvement, making more informed decisions on how best to support student needs and meet them with appropriate support measures.
As well as its data sgp reports, this website also offers resources that explain what the data means and how to interpret and use it. These include an explanation of what it means to be “inside the curve”, tips on interpreting individual student data as well as comparisons across schools or districts and even a macro driven MS Excel document that takes student files from BAA secure sites and displays both achievement and growth simultaneously using one chart.
As many websites provide SGP data, not all can be trusted. When selecting one for SGP data analysis it is essential that it has an excellent track record and an established reputation for accuracy, in addition to being safe to use without risking security breaches.
Another key factor when analyzing SGP data is to decide whether the school is comparing itself against the state average or an academically similar group of schools. If comparing against the state average, it may be beneficial to look at mean and median scores as well as percentiles; this will allow the school to see if its scores differ significantly from others across the state.
Noteworthy is the fact that the SGP vignette displayed on the data dashboard does not include 2014-15 (Badger Exam). This year was excluded as its data did not align well with either WKCE or Forward exams, making it impossible to produce meaningful growth data for this year.
However, schools must understand the limitations of their Student Growth Profile data and recognize its limitations when using it operationally year after year. If this format is being employed consistently with studentGrowthPercentiles and studentGrowthProjections being utilized; higher level wrapper functions typically require LONG format data for analysis purposes.