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In a recent study, we show that SGPs estimated from standardized test scores suffer large estimation errors. These errors result in noisy measures of the true (or latent) achievement traits that are associated with each student’s prior and current test scores. We address these issues using a unique approach that considers both the characteristics of the assessments and their correlations with latent traits.
SGPs are intended to provide a more complete picture of student performance than simple test score measures, such as average daily progress. SGPs can identify areas where a student needs additional support, as well as provide information on how well students are performing in a given course or grade level. In addition, SGPs can indicate whether a student is likely to meet or exceed expectations based on their current academic growth.
As the need for a more complete picture of student performance continues to grow, it is important that states have access to high quality SGP data that can be used to inform education policy and practice. This is why the state level SGP data set is available for free and openly sourced.
In addition to the state-level SGP data set, a national SGP database is available for purchase that allows districts and schools to analyze student and teacher performance across a wide range of subject areas. This is an excellent way for administrators to identify the most effective strategies for improving student outcomes.
While it is important for educators to know what SGP data is available, it is equally crucial that they understand how it can be used to improve teaching and learning. While SGP data can be useful in identifying student learning gaps, it is also necessary to ensure that all students have an opportunity to learn. To achieve this goal, we need to work together with our colleagues in other fields to develop more individualized assessments that measure both student and teacher performance. This will allow us to identify the most promising practices and improve education for all students.