Data SGP is a software package that computes student growth percentiles and projections/trajectories using large scale, longitudinal assessment data. This can help educators and parents to quickly identify students who may need additional assistance and evaluate current systems with an eye towards making improvements.
This software can be easily downloaded for free from Github repository. However, to use it effectively one requires a computer with R installed – an advanced statistical computing environment available on Windows, OSX and Linux operating systems that provides powerful statistical computing capability. While learning it may initially seem daunting to non-programmers it offers rich toolset for analysis and modeling of educational data.
Outside of the SGP package, additional resources can be found online. For instance, Singapore’s National Institute of Education hosts an extensive listing of school performance statistics and reports which provides an excellent snapshot of education in Singapore. This data can provide invaluable insights into its state.
Teachers play an integral role in student success; yet many lack the resources or training to assist their pupils. Data SGP site offers educators an excellent resource to analyze and interpret educational data to make more informed decisions regarding improving classrooms and schools.
Data SGP website is an invaluable resource for anyone interested in the state of education in Singapore. It provides an in-depth view of public and private schools, student achievement data, teacher effectiveness indicators, as well as overall quality measures of education – essential information that educators, policymakers and the general public alike can utilise.
Apart from providing this essential data, the data sgp website also provides information on many other topics. It is user-friendly and contains comprehensive listings of statistical data relating to our country’s economy. It is particularly helpful when trying to gain more knowledge.
In sgpData, the first column ID identifies each student uniquely while subsequent columns (SS_2013, SS_2014, SS_2015, SS_2016 and SS_2017) provide his or her scale score for each year of testing. Furthermore, there is an annotated table in sgpData_INSTRUCTOR_NUMBER which displays which instructors were associated with which test records.
Although sgpData provides excellent data for SGP analyses, additional meta-data must be added in order to run projection/trajectory analyses and make meaningful comparisons across schools. One such meta-data set is sgpstateData which aggregates state student aggregates using sgpData data across each of 50 states – there is also an instruction vignette that details how to utilize and create this set.