Literaturnachweis - Detailanzeige
Autor/in | Kim, YoungKoung Rachel |
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Institution | College Board |
Titel | Comparing State SAT Scores Using a Mixture Modeling Approach Slides presented at the Annual Meeting of the American Educational Research Association (AERA) (San Diego, CA, Apr 15, 2009). |
Quelle | (2009), (18 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Konferenzschrift; Nachschlagewerk; Conference Papers; Scores; Comparative Analysis; College Entrance Examinations; Identification; Item Response Theory; Models; Goodness of Fit; Statistical Analysis; Classification; Class Size; Educational Indicators; Institutional Characteristics; ACT Assessment; SAT (College Admission Test) Konferenzmaterial; Aufnahmeprüfung; Identifikation; Identifizierung; Item-Response-Theorie; Analogiemodell; Statistische Analyse; Classification system; Klassifikation; Klassifikationssystem; Klassengröße; Educational indicato; Bildungsindikator; Assessment; Eignungsprüfung; Eignungstest; Hochschulzulassung |
Abstract | Presented at the national conference for AERA (American Educational Research Association) in April 2009. The large variability of SAT taker population across states makes state-by-state comparisons of the SAT scores challenging. Using a mixture modeling approach, therefore, the current study presents a method of identifying subpopulations in terms of SAT scores while taking into account the percentage of SAT takers so that state SAT scores within a subpopulation can be properly compared. (As Provided). |
Anmerkungen | College Board. 250 Vesey Street, New York, NY 10281. Tel: 212-713-8000; e-mail: research@collegeboard.org; Web site: http://research.collegeboard.org |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |