What is Data SGP?

Data Sgp is an open source software package that provides tools to manage, run and analyze student growth percentile (SGP) analyses for state assessment data. It is an addition to the suite of data management tools available in R, a popular statistical programming language. Like any tool for managing data, it requires a certain level of familiarity with the software environment, and an understanding of how to use it. Data SGP is an important part of OSPI’s ongoing effort to provide educators with tools they need to support their students’ learning and development.

The SGP analysis model is based on an academic peer group that includes all students with comparable score histories who took the same subject matter test at previous MCAS administrations. The group is then compared to the current student’s performance to determine their relative performance. In the example above, although both students scored the same this year in a particular subject area, their SGPs were different. This is because the SGP calculation is based on a student’s academic peer groups, not their MCAS scaled scores.

SGPs can be interpreted like other percentile rankings, but differences between SGPs from year to year need to be viewed with caution. Generally, a difference of fewer than 10 points in SGPs between two years is not significant.

To calculate SGPs, a statistical procedure known as quantile regression places a student’s academic peers’ performance on a normative scale. Then the current student’s performance is compared to this normative scale to identify their growth percentile. This process is repeated for each student in a student group. The results of these calculations are then averaged to produce a median SGP at the school, district, and statewide levels.

At the school and district level, SGPs are used to identify students who need further growth in order to achieve proficiency, as well as those who have already demonstrated sufficient growth to reach or maintain proficiency. A variety of SGP measures are produced by the system and displayed in the Star Growth Report when the “Window Specific” option is selected in the report customization (in the Timeframe drop-down list).

At the district level, SGPs are used to analyze trends and support the work of educators and administrators. In addition to identifying student growth, SGPs are useful for analyzing the effectiveness of educator evaluation systems and ensuring equity in education. This article will provide an overview of the SGP analysis process and highlight some common questions and misconceptions. This is an important step in ensuring that SGPs are used effectively by educators and districts to inform their educational decisions. It is also critical to ensure that the information provided to educators is accurate and reliable. The integrity of data is critical to our ability to accurately assess student achievement and provide the support that students need. Developing and implementing strong data governance practices is key to this. By creating an environment that prioritizes the protection of sensitive information, schools and districts are better able to mitigate risks associated with data breaches or misuse from insiders or outsiders.