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| Autor/inn/en | Van Norman, Ethan R.; Forcht, Emily R. |
|---|---|
| Titel | An Evaluation of the Validity of Growth on Two Computer Adaptive Tests to Predict Performance on End-of-Year Achievement Tests Using Quantile Regression |
| Quelle | In: Assessment for Effective Intervention, 48 (2023) 2, S.80-89 (10 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1534-5084 |
| DOI | 10.1177/15345084221100421 |
| Schlagwörter | Test Validity; Computer Assisted Testing; Adaptive Testing; Grade Prediction; Academic Achievement; Regression (Statistics); Reading Tests; Mathematics Tests; Elementary School Students; Grade 3; Grade 4; Grade 5; Grade 6 |
| 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. (As Provided). |
| Anmerkungen | SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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