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Tom Swiderski; Sarah Crittenden Fuller; Kevin C. Bastian – Annenberg Institute for School Reform at Brown University, 2024
We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…
Descriptors: Correlation, Academic Achievement, COVID-19, Pandemics
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Hawley, Leslie R.; Bovaird, James A.; Wu, ChaoRong – Applied Measurement in Education, 2017
Value-added assessment methods have been criticized by researchers and policy makers for a number of reasons. One issue includes the sensitivity of model results across different outcome measures. This study examined the utility of incorporating multivariate latent variable approaches within a traditional value-added framework. We evaluated the…
Descriptors: Value Added Models, Reliability, Multivariate Analysis, Scaling
Amrein-Beardsley, Audrey; Geiger, Tray – Phi Delta Kappan, 2017
Houston's experience with the Educational Value-Added Assessment System (R) (EVAAS) raises questions that other districts should consider before buying the software and using it for high-stakes decisions. Researchers found that teachers in Houston, all of whom were under the EVAAS gun, but who taught relatively more racial minority students,…
Descriptors: Value Added Models, School Districts, Computer Software, Educational Technology
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Takanishi, Stacey M. – Journal on Educational Psychology, 2012
NCLB policies in the United States focus schools' efforts on implementing effective instructional processes to improve student outcomes. This study looks more specifically at how schools are perceived to be implementing state required curricula and benchmarks and developing teaching and learning processes that support the teaching of state…
Descriptors: Instructional Improvement, Mathematics Achievement, Achievement Gains, Hierarchical Linear Modeling