How to Use Data SGP to Monitor Student Academic Progress

For students and educators, data sgp is an important tool to help monitor student progress and achievement. Students can use data sgp to identify patterns in their learning and make necessary adjustments to their academic program. In addition, teachers can also use data sgp to compare the performance of their students to that of other students in their district or state.

Data sgp can be used for school and district level reporting to show overall growth trends, and can also be reported at the individual student level for more individualized information. To calculate a student’s student growth percentile, the student’s raw score on one assessment occurrence must be combined with the student’s growth score from at least two previous assessments (i.e., a prior test from the same testing window).

The data sgp is then compared to the growth percentiles of other students with similar scores in each prior test section. This is an example of how student growth percentiles are used to help identify students who may need extra support and students who are making good progress.

Students with high student growth percentiles are demonstrating strong academic progress and are likely to be on a positive academic trajectory. However, students with low student growth percentiles are falling behind the average rate of progression and need extra support to reach proficient status.

Using the student growth percentiles, a teacher can identify the range of potential outcomes for each student and determine what growth is needed for each student to be on track to meet or exceed proficiency in the subject areas. In addition, the growth trajectories of all Star examinees are aggregated to generate a forecast that indicates what student learning needs to be achieved by the end of each school year.

For school-, district-, or subgroup-level reporting, the mean student growth percentile for the selected group is presented. This value represents the average of the student growth percentiles for each student in the selected group and is a useful metric to consider when evaluating a school/district/subgroup’s performance.

There are two common formats for longitudinal student assessment data: WIDE and LONG format. The exemplar data sets sgpData and sgpData_LONG, installed when SGP is installed, are provided in the WIDE and LONG format respectively and model how time dependent student assessment data should be represented in order to use SGP function. The sgpData data set will also serve as an example for the sgpProjections and sgpPercentiles functions that are available in SGP. These functions will not work with other data formats.