Located on 160 acres of cattle pasture and wheat fields, the SGP observatory is an important center for atmospheric research. The site hosts continuous observations and numerous visiting instruments. Scientists use these data for a wide range of studies, from single observation analyses to multi-observation process studies and assimilation into earth system models. Researchers also supplement the continuous observations at SGP with guest instruments for field research campaigns or to increase the frequency of measurement (e.g., sonde launches).
The SGPdata package includes exemplar WIDE and LONG format data sets to help users set up their own analyses. 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 is spread out across multiple rows in the data set. The sgpData_WIDE and sgpData_LONG data sets include the same cases/rows and variables but are separated into distinct files to facilitate easier comparison of results.
For those interested in conducting SGP analyses, it can be challenging to get started because of the many steps involved. The SGP package provides wrapper functions, abcSGP and updateSGP, that simplify the code needed for these analyses by wrapping the lower level studentGrowthPercentiles and studentGrowthProjections functions.
To get the most out of your SGP analyses, you must have the best possible dataset to work with. This data should be clean, reliable, and representative of the student population that you are analyzing. You can obtain this data from the sgpData package, which contains a collection of anonymized, longitudinal student assessment data. This data is available to the public and can be downloaded for free.
SGP also offers several other ways to access high quality student data. Many schools collect student data on a regular basis and can provide this to the SGPdata team for analysis. The SGPdata team can also assist schools in obtaining data from other sources such as student records systems and academic testing providers.
For more information about SGP and the services offered by the SGPdata team, visit our website or contact us via email. We look forward to hearing from you! The SGPdata team at the University of Chicago. We are a group of students, postdocs, and faculty working to improve the availability and quality of SGP data for student growth prediction research. We do this by creating tools to simplify and automate SGP analysis, ensuring that researchers can get the most out of their data. We also work to connect researchers with each other and with the community. In addition, we collaborate with other groups that have similar goals. Our partners include the Universities of Minnesota, Wisconsin, and Illinois, as well as the National Science Foundation, the Institute for Education Sciences, and the U.S. Department of Health and Human Services. All of these organizations recognize that the SGP project is vital to improving the availability and quality of student growth prediction data. We are pleased to be a part of this effort.