Evaluation of RIT Scores at a Midwestern Urban Charter K–8 School

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Start Date

23-4-2026 12:00 AM

Description

This research focuses on Rasch UnIT (RIT) scores administered through the Northwest Evaluation Association (NWEA) for the seasonal, predictive Measures of Academic Progress (MAP) Growth Test for a small, urban K-8 charter school. The NWEA administers end of year (EOY) MAP Growth Tests, and these seasonal (Fall, Winter, Spring) predictive tests are utilized to demonstrate student longitudinal growth, along with indicating how each student will do on the EOY MAP Growth test. As a charter school, they operate like a public school but are privately sponsored, having the goal of testing equivalent or better to the nearby public schools. By examining average RIT scores within grades and key years, the data shows that pre-COVID-19 testing years students reached the benchmark scores. However, after returning from the COVID-19 shutdown, there has been a decline in student scores. This research will show that there are many factors when it comes to student testing, including but not limited to, time taken on assessment, gender, and students’ strengths/weaknesses, which is demonstrated through regression analysis and other statistical modeling. This research should help educators know how their students are testing over the years and how they can tailor their teaching to their students' needs.

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Apr 23rd, 12:00 AM

Evaluation of RIT Scores at a Midwestern Urban Charter K–8 School

This research focuses on Rasch UnIT (RIT) scores administered through the Northwest Evaluation Association (NWEA) for the seasonal, predictive Measures of Academic Progress (MAP) Growth Test for a small, urban K-8 charter school. The NWEA administers end of year (EOY) MAP Growth Tests, and these seasonal (Fall, Winter, Spring) predictive tests are utilized to demonstrate student longitudinal growth, along with indicating how each student will do on the EOY MAP Growth test. As a charter school, they operate like a public school but are privately sponsored, having the goal of testing equivalent or better to the nearby public schools. By examining average RIT scores within grades and key years, the data shows that pre-COVID-19 testing years students reached the benchmark scores. However, after returning from the COVID-19 shutdown, there has been a decline in student scores. This research will show that there are many factors when it comes to student testing, including but not limited to, time taken on assessment, gender, and students’ strengths/weaknesses, which is demonstrated through regression analysis and other statistical modeling. This research should help educators know how their students are testing over the years and how they can tailor their teaching to their students' needs.