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Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric; Qian, Cheng – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2021
We evaluate the feasibility of estimating test-score growth with a gap year in testing data, informing the scenario when state testing resumes after the 2020 COVID-19-induced test stoppage. Our research design is to simulate a gap year in testing using pre-COVID-19 data--when a true test gap did not occur--which facilitates comparisons of…
Descriptors: Scores, Achievement Gains, Computation, Growth Models
Ehlert, Mark; Koedel, Cory; Parsons, Eric; Podgursky, Michael – Educational Policy, 2016
The specifics of how growth models should be constructed and used for educational evaluation is a topic of lively policy debate in states and school districts nationwide. In this article, we take up the question of model choice--framed within a policy context--and examine three competing approaches. The first approach, reflected in the popular…
Descriptors: Growth Models, Value Added Models, Educational Assessment, Elementary Secondary Education