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Improving Accuracy and Stability of Aggregate Student Growth Measures Using Empirical Best Linear Prediction BLP

Author(s):
Lockwood, J. R.; Castellano, Katherine E.; McCaffrey, Daniel F.
Publication Year:
2022
Source:
Journal of Educational and Behavioral Statistics, v47 n5 p544-575, Oct 2022
Document Type:
Article
Page Count:
32
Subject/Key Words:
Student Growth, Student Achievement, Educational Accountability, Best Linear Prediction (BLP), Generalized Linear Mixed Model, Parameter Estimation, Simulation Studies, Mean-Squared Error, Standardized Testing

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