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Kannan, Priya; Sgammato, Adrienne – ETS Research Report Series, 2017
Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the criterion. In two simulation studies, we evaluated the impact of varying the underlying grade-level…
Descriptors: Regression (Statistics), Cutting Scores, Prediction, Accuracy
Hedges, Larry V.; Hedberg, Eric C. – Grantee Submission, 2013
Background: Cluster randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Academic Achievement
Hedges, Larry V.; Hedberg, E. C. – Evaluation Review, 2013
Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Statistical Analysis
Loveless, Tom – Thomas B. Fordham Institute, 2009
This study examines tracking--the practice of grouping students into separate classes or courses based on their prior academic achievement--at the middle-school level, and the percentage of high-achieving students in tracked and untracked schools. It focuses on Massachusetts, a leader in "reforming" tracking, and the changes that have…
Descriptors: Middle Schools, Track System (Education), High Achievement, Middle School Students

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