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It’s important to note that data sgp is not a substitute for the actual results of a student’s assessment. It is a tool that can be used alongside the real results in order to identify patterns or trends in the student’s performance over time. Data sgp is not intended to replace the need for educators to provide students with meaningful and rigorous learning experiences.
Moreover, it is important to know that not all teachers’ true SGPs are equal. This is due to a variety of factors, such as how well students’ teachers are able to manage their classrooms, the quality of school facilities (e.g. math facilities), and the ways in which schools and classrooms are sorted by student covariates. For example, if more effective teachers are sorted into schools that have better facilities for teaching math, the average true SGP of these teachers will be higher than the average of less effective teachers.
The sgpData package, installed when one installs the SGP package, provides exemplar WIDE and LONG format data sets to assist with setting up longitudinal data. In the WIDE format, each case/row represents a unique student and columns represent variables associated with the student at different times. In the LONG format, time dependent data for each student is spread across multiple rows in the dataset.
For both formats, the first column should provide a unique student identifier, followed by a set of columns that contain data associated with each student’s assessment occurrences. In addition, for the LONG format, it is necessary to have a row for each school year. The SGPdata package contains a file with a pre-filled spreadsheet for each of the data sets described above.
The sgpData package, installed by default when you install the SGP package, provides an exemplar WIDE and LONG format data set to assist in setting up longitudinal data for student growth percentiles. This dataset is a panel data set with 5 years of annual, vertically scaled assessment data. It is designed to model the format of the data that can be provided to the lower level studentGrowthPercentiles and studentGrowthProjections functions. In this way, users can experiment with different data configurations without having to create their own data sets from scratch. For more details, see the SGPdata documentation.