An Investigation of the Fit of Linear Regression Models to Data from an SAT[R] Validity Study. Research Report 2011-3

Autor/inn/en	Kobrin, Jennifer L.; Sinharay, Sandip; Haberman, Shelby J.; Chajewski, Michael
Institution	College Board
Titel	An Investigation of the Fit of Linear Regression Models to Data from an SAT[R] Validity Study. Research Report 2011-3
Quelle	(2011), (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Multiple Regression Analysis; Goodness of Fit; College Entrance Examinations; Test Validity; Predictive Validity; Grade Point Average; College Freshmen; SAT (College Admission Test) + Suchen Sie Ihr Suchwort? Aufnahmeprüfung; Testvalidität; Studienanfänger
Abstract	This study examined the adequacy of a multiple linear regression model for predicting first-year college grade point average (FYGPA) using SAT[R] scores and high school grade point average (HSGPA). A variety of techniques, both graphical and statistical, were used to examine if it is possible to improve on the linear regression model. The results suggest that the linear regression model mostly provides an adequate fit to the data and that more complicated models do not significantly improve the prediction of FYGPA from SAT scores and HSGPA. (Contains 7 tables and 10 figures.) (As Provided).
Anmerkungen	College Board. 45 Columbus Avenue, New York, NY 10023. Tel: 212-713-8000; Fax: 212-713-8143; e-mail: store_help@collegeboard.org; email: inquiry@collegeboard.org; Web site: http://www.collegeboard.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10