Data SGP is an evaluation metric that provides a picture of a student’s performance relative to the performance of students with similar prior test scores (their academic peers). Unlike most assessment metrics, growth percentages are reported as percentiles which are familiar and well-understood by educators. Growth information can be used for evaluating student/teacher performance, informing classroom research initiatives and assessing schools/districts.
SGP analyses require access to longitudinal (time dependent) student assessment data. This type of data is usually stored in WIDE or LONG format with each case/row representing a student and columns representing variables associated with them at different points in time (e.g. YEAR ID SCALE_SCORE GRADE). The SGP package has lower level functions studentGrowthPercentiles and studentGrowthProjections which can be used with either type of data set. However, LONG format data sets tend to offer advantages when it comes to preparation, storage and retrieval.
Educators can access SGP reports through their state’s website. These reports provide a picture of a student’s progress by displaying their current SGP and the percentage of students who exceeded the state’s target of 99th percentile or higher. These reports can be useful to teachers, administrators, and parents in making educational decisions for their students.
The term ‘big data’ has become a popular phrase in the media and in science; however, SGP research is not big data by any means. Compared to the massive datasets used by Facebook and other social media platforms, SGP research is small data. The research aims to assemble, store and analyze a limited number of large datasets for the specific scientific questions at hand.
What is the goal of data sgp?
Data SGP is a new measure of student performance that allows educators to see how their students are progressing academically. It is based on a student’s raw score on a state assessment compared to the average raw score of students with similar prior assessments, also known as their academic peers. This enables educators to fairly compare students who enter the system at a wide range of levels. It also helps them identify which students are meeting and exceeding standards and which need additional support or assistance.
Can high scoring students show growth?
Yes, SGP analyses are able to identify student growth even for students with the highest initial scores. SGP uses a model to ensure that high students are compared to other students with the same prior scores. This prevents high achieving students from being artificially pushed above the curve.
In addition, statewide median SGPs are almost always 50 because norms are typically established using data from only the most recent year. This helps to ensure that half of the students will have growth below 50 and half above. However, there are instances where the statewide median SGP may differ from 50 due to slight misfit or the assignment of Highest Obtainable Scale Score (HOSS) students to an SGP of 99. For this reason, it is important to understand the nuances of SGP before using it in classrooms.