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Autor/inn/enHall, Garret J.; Kaplan, David; Albers, Craig A.
TitelCapturing Multiple Sources of Change on Triannual Math Screeners in Elementary School
QuelleIn: Learning Disabilities Research & Practice, 37 (2022) 4, S.262-279 (18 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Hall, Garret J.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0938-8982
DOI10.1111/ldrp.12296
SchlagwörterLearning Disabilities; Students with Disabilities; Elementary School Students; Mathematics Skills; Computation; Mathematical Concepts; Curriculum Based Assessment; Bayesian Statistics; Scores; Models; Screening Tests
AbstractBayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2-5, approximately 700 to 850 students in each grade (47%-54% female; 78%-79% White, 10%-11% Black, 2%-4% Hispanic/Latino, 2%-4% Asian, 2-4% Native American or Pacific Islander; 13%-14% English learner; 10%-14% had special education individualized education plans). Results converged with common nonlinear growth patterns from the assessment norms and prior independent findings. However, Bayesian LCSMs captured practically relevant sources of change not observed in prior studies. Practical and methodological implications for screening and data-based decision-making in multitiered systems of support, limitations, and future directions are discussed. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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