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Patelis, Thanos – College Board, 2012
This is a keynote presentation given at AERA on developing a validity agenda for growth models in a large scale (e.g., state) setting. The emphasis of this presentation was to indicate that growth models and the validity agenda designed to provide evidence in supporting the claims to be made need to be personalized to meet the local or…
Descriptors: Test Validity, Statistical Analysis, Conferences (Gatherings), Evidence
Shaw, Emily – College Board, 2010
Presented at the College Board National Forum in Washington, D.C., October 2010. This presentation examines the recent national validity evidence that supports the use of SAT Writing in college admissions and English placement. Additionally it includes information on the College Board's free online Admitted Class Evaluation Service (ACES) system,…
Descriptors: Test Validity, College Entrance Examinations, Writing Achievement, Writing Tests
Kobrin, Jennifer L.; Patterson, Brian F. – College Board, 2010
There is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict first-year college performance at different institutions. This paper demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. In a model that…
Descriptors: Scores, Validity, Prediction, College Freshmen
Shaw, Emily J.; Mattern, Krista D. – College Board, 2010
[Slides] presented at AERA in Denver, CO in April 2010. This study examined the relationship between students' self-reported high school grade point average (HSGPA) from the SAT Questionnaire and their HSGPA provided by the colleges and universities they attend. The purpose of this research was to offer updated information on the relatedness of…
Descriptors: Accuracy, Grade Point Average, High School Students, Correlation
Kim, YoungKoung Rachel – College Board, 2009
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…
Descriptors: Conference Papers, Scores, Comparative Analysis, College Entrance Examinations