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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
Center on Education Policy, 2009
This year the Center on Education Policy analyzed data on the achievement of different groups of students in two distinct ways. First, it looked at grade 4 test results to determine whether the performance of various groups improved at three achievement levels--basic and above, proficient and above, and advanced. Second, it looked at gaps between…
Descriptors: Federal Legislation, Low Income, American Indians, African American Students

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