An evaluation of the validity of growth on two computer adaptive tests (Star Math and Star Reading) to predict performance on end-of-year achievement tests using quantile regression

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Abstract:

From the abstract: "This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance in performance on end-of-year tests after controlling for baseline performance in all grades. In Grades 3 through 5, the relationship between growth on Star Reading and the end-of-year test was stronger among students who scored higher on the end-of-year test. In math, Star Math explained a statistically significant amount of variance in end-of-year scores after statistically controlling for baseline performance in all grades. The strength of the relationship did not differ among students who scored lower or higher on the end-of-year test across grades.

Citation: Van Norman, E. R., & Forcht, E. R. (2023). An evaluation of the validity of growth on two computer adaptive tests to predict performance on end-of-year achievement tests using quantile regression. Assessment for Effective Intervention, 48(2), 80-89.

Publication Date:
06/06/2022

Updated: 03/01/2023