Data SGP refers to an accumulation of student performance information collected over time and used by educators and administrators to make instructional decisions. It includes individual-level measures like test scores and growth percentiles as well as school/district level measurements such as class size, attendance rates and graduation rates. Teachers use it to identify areas for improvement while also informing classroom practices, evaluating schools/districts as well as supporting larger research initiatives.
This project’s objective is to give teachers access to a free, easily accessible tool for analyzing and interpreting data sgp. With this tool, teachers can compare student performance on state assessments against their own progress over time, evaluate teaching methods’ efficacy and plan instruction based on student needs identified through this tool.
Current resources do not permit most schools and districts to calculate SGPs for all of their students, which would allow for more reliable comparisons among them. SGPs are calculated from longitudinal assessment data combined with standard test score histories to measure student progress over time; using only one score as the measurement standard can create large estimation errors that prevent accurate comparisons among them; SGPs provide more reliable assessment than existing measurement systems for measuring students’ progress.
An SGP is determined by comparing a student’s most recent assessment with previous assessments from different testing windows. The number of prior tests considered when calculating an individual student’s SGP depends on both state testing cycles and number of assessments administered during a year; typically two or more assessments will take place each year.
Calculating Student Growth Percentiles requires taking into account both a student’s history of achievement and gaps between achievement levels. Students with previous academic difficulties may show higher than average growth despite receiving low standardized test scores on recent assessments; conversely, even students starting off lower can still show impressive gains if they have received sufficient intervention and support during that time.
The SGPdata package provides four example data sets suitable for SGP analyses. sgpData specifies WIDE format data used with studentGrowthPercentiles and studentGrowthProjections functions of lower level SGP analysis functions; two others, sgpData_LONG and sgptData_LONG specify LONG format used by higher level functions like abcSGP, prepareSGP and analyzeSGP functions.
SGPdata is a collection of tools designed to allow users to generate statistical data for student growth percentageile (SGP) analyses in Microsoft Excel. This spreadsheet collection provides users with detailed instructions and examples for creating different kinds of SGP data, as well as templates and reports that allow quick visualisation and analysis of this information. Furthermore, this package comes complete with an illustrated user guide explaining each spreadsheet included within this collection.