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Autor/inChiu, Pui Chi
TitelA Longitudinal Study on State Mathematics and Reading Assessments: Comparisons of Growth Models on Students' Achievement Scores
Quelle(2012), (126 Seiten)
PDF als Volltext Verfügbarkeit 
Ph.D. Dissertation, University of Kansas
Spracheenglisch
Dokumenttypgedruckt; online; Monographie
ISBN978-1-2676-2412-3
SchlagwörterHochschulschrift; Dissertation; Longitudinal Studies; Mathematics Tests; Reading Tests; Educational Assessment; Academic Achievement; Scores; Hierarchical Linear Modeling; Reliability; Validity; Models; Evaluation Methods; Comparative Analysis
AbstractThis study examines student growth on mathematics and reading assessments across academic years (Spring 2006 through Spring 2009) using three different growth models: hierarchical linear model (HLM), value-added model (VAM), and student growth percentile model (SGP). Comparisons across these three growth models were conducted to investigate the differences and similarities of the results obtained from these three growth models. Multilevel growth parameter estimates, model-fit indices, and predictor effects were used to comparatively evaluate these three growth models. Furthermore, three criteria were used to evaluate each of the growth models: reliability, validity, and fairness. The results obtained from each of the growth models were compared for mathematics and reading assessments. Similar results were found across the three growth models, suggesting that even though different methodologies were used to study student growth, similar results were obtained. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
AnmerkungenProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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