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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.; Kobrin, Jennifer L.; Patterson, Brian F.; Mattern, Krista D. – College Board, 2011
Presented at the Annual Meeting of the American Educational Research Association (AERA) in New Orleans, LA in April 2011. The current study examined the differential validity of the SAT for predicting cumulative GPA through the second-year of college by college major, as well as the differential prediction of cumulative GPA by college major among…
Descriptors: College Entrance Examinations, Predictive Validity, Grade Point Average, College Students
Shaw, Emily J.; Mattern, Krista D. – College Board, 2012
The current study will explore the validity and potential of using the SAT, in conjunction with HSGPA, to arrive at a predicted FYGPA to improve student retention at four-year postsecondary institutions. Specifically, this study examined whether college students who did not perform as expected (observed FYGPA minus predicted FYGPA) were more…
Descriptors: College Entrance Examinations, Test Validity, Grade Point Average, High School Students
Mattern, Krista D.; Shaw, Emily J.; Kobrin, Jennifer L. – College Board, 2010
Presented at the national conference for the American Educational Research Association (AERA) in 2010. This presentation describes an alternative way of presenting the unique information provided by the SAT over HSGPA, namely examining students with discrepant SAT-HSGPA performance.
Descriptors: College Entrance Examinations, Grade Point Average, High School Students, Scores
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
Shaw, Emily J. – College Board, 2009
Presented at the College Board Western Regional Office (WRO) Forum in San Diego in February 2009. This presentation explores SAT test validity and how it can be used to inform both advisement and placement at the national or institution level. Institutional validity can be measured using the Admitted Class Evaluation Service (ACES) which schools…
Descriptors: College Entrance Examinations, Test Validity, Standardized Tests, Student Placement
Shaw, Emily; Mattern, Krista; Patterson, Brian – College Board, 2009
Presented at the national conference for AERA (American Educational Research Association) . This study examined whether there are distinct differences in the demographic characteristics, HSGPA, first-year college performance, and second-year college retention rates among students who have discrepant CR-W performance.
Descriptors: Critical Reading, Reading Achievement, Writing Achievement, Scores
Godfrey, Kelly E. – College Board, 2009
[Slides] presented at the American Educational Research Association (AERA) in 2009. This study investigated the presence of a general rise in high school grades without a corresponding rise in SAT scores, as well as different grading criteria between schools, as shown by differential relationships between AP course grades and exam scores. These…
Descriptors: Grade Inflation, High School Students, Aptitude Tests, Scores
Hendrickson, Amy; Patterson, Brian; Melican, Gerald – College Board, 2008
Presented at the Annual National Council on Measurement in Education (NCME) in New York in March 2008. This presentation explores how different item weighting can affect the effective weights, validity coefficents and test reliability of composite scores among test takers.
Descriptors: Multiple Choice Tests, Test Format, Test Validity, Test Reliability