Data sgp is the information that teachers and administrators have about their students’ assessment results. It allows them to understand how well their students are progressing academically and identify areas in need of improvement. Data sgp can also help them develop plans to improve student learning and achievement. It’s important for all schools to have access to this kind of data so they can make informed decisions about the educational process.

There are several different ways to conduct SGP analyses. The SGP package provides exemplar WIDE formatted data sets sgpData, sgptData_LONG, and sgpData_INSTRUCTOR_NUMBER to facilitate analysis of student growth. The sgpData_LONG and sgptData_LONG formats allow for fixed-time and time-dependent analyses, respectively. The sgpData_INSTRUCTOR_NUMBER is a student-instructor look up table allowing for the production of teacher level summaries. These exemplars, along with the higher level wrapper functions studentGrowthPercentiles and studentGrowthProjections, are used to conduct SGP analyses.

SGP analyses are complex and require some technical knowledge, but they offer valuable information about a student’s progress. They provide a snapshot of a student’s performance and compare that to others with similar prior test scores (their academic peers). The calculations for SGPs are complex, but the data is presented in percentile terms that are familiar to most teachers and parents.

The SGPdata package contains four exemplar data sets, sgpData, sgptData_LONG, sgpData_INSTRUCTOR_NUMBER, and sgpData_LONG, that can be used to perform student growth percentageiles and projections. The sgpData and sgptData_LONG data sets are anonymized, panel data sets that contain 8 windows (3 windows annually) of assessment data in LONG format for 3 content areas. The sgptData_LONG and sgpData_INSTRUCTOR_NUMBER data sets contain the same content area data but without the demographic variables required for SGP analyses.

While SGP analyses can be conducted using the lower level functions studentGrowthPercentiles, studentGrowthProjections, and studentSummary, higher-level wrapper functions abcSGP and updateSGP simplify these analyses for operational analyses. These functions ‘wrap’ the necessary 6 steps into a single function call, eliminating the need to write code for each step individually.

The SGPdata package also includes a set of vignettes that demonstrate how to use these higher-level wrapper functions. These vignettes are useful for educators who want to perform SGP analyses but may not have the technical expertise needed to do so on their own. The vignettes include a description of the problem, how to solve the problem using the higher-level wrapper functions, and how to interpret the results. The vignettes are available for download from the SGPdata package. They are also available on the SGPweb site. We welcome feedback and are happy to answer questions about how to use these vignettes.