The data sgp project is assembling, curating and accessing large-scale geochemical data for the Neoproterozoic through Paleozoic. This data is based on multi-proxy sedimentary rock geochemical analyses for iron, carbon, sulfur, major and trace metal isotopes from many different regions globally.
The goal of data sgp is to provide these data in a usable format for scientists. The data sgp database is intended to be used for research, but is also being built to migrate to permanent databases that will make these valuable datasets available to the wider scientific community.
What is the difference between SGP and student achievement scores?
Student Growth Percentiles (SGP) are a specific metric that measure how much students grow on state assessments compared to their academic peers. A student’s SGP score is a number between 1 and 99 that indicates how much the student’s assessment score changed relative to their academic peers. For example, if a student’s SGP score is 85 it means that the student’s assessment score changed more than 85 percent of their academic peers’ assessment scores.
To determine a teacher’s mSGP, the NJDOE links district course roster submission data with relevant SGP scores for each qualifying teachers. The mSGP is then tabulated along with the teacher practice score and teacher professional development rating to produce the final evaluation score for each teacher. Teachers who teach a course listed in the NJ SMART School Courses for the Exchange of Data (SCED) Course Code List, found on the Documents for Download section of the NJ SMART Resources and Trainings webpage, are eligible to receive an SGP rating.
sgpData is an exemplar data set that models the format for the data to be used with the lower level studentGrowthPercentiles and studentGrowthProjections functions of the SGP package. This exemplar data set provides 5 years of annual, vertically scaled, assessment data in WIDE format. The first column, ID, provides the unique student identifier. The next five columns, SS_2013, SS_2014, SS_2015, and SS_2016 provide the student assessment scores from each of these 5 years.
The sgpData vignette contains detailed documentation on how to use sgpData and WIDE data formats for SGP analysis. It is recommended that you review this vignette before conducting your own SGP analysis. Running SGP analyses requires a computer with the R software environment installed. R is open source and is available for Windows, OSX, and Linux. The SGP package provides wrapper functions abcSGP and updateSGP that simplify the 6 steps described in this vignette into a single function call, making it easier to conduct operational SGP analyses.
