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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
Mattern, Krista D.; Patterson, Brian F.; Shaw, Emily J.; Kobrin, Jennifer L.; Barbuti, Sandra M. – College Board, 2008
The purpose of the study is to examine the differential validity and prediction of the SAT using a nationally representative sample of first-year college students admitted with the revised version of the SAT. The findings demonstrate that there are similar patterns of differential validity and prediction by gender, race/ethnicity, and best…
Descriptors: Validity, Prediction, College Entrance Examinations, Standardized Tests
Kobrin, Jennifer L.; Camara, Wayne J.; Milewski, Glenn B. – College Board, 2002
The SAT® and high school grades are the most accurate predictors of first-year college performance. Together, these two measures have a high multiple correlation (r = 0.7) with first-year college grades when the correlation coefficient is corrected for restriction in range, criterion unreliability, and different course grading standards…
Descriptors: College Entrance Examinations, Grade Point Average, Prediction, Scores
Kobrin, Jennifer L.; Milewski, Glenn B.; Everson, Howard; Zhou, Ying – 2003
This study used hierarchical linear modeling (HLM) to examine student- and school-level predictors of the discrepancy between students standardized high school grade point average (HSGPA) and standardized total Scholastic Assessment Test (SAT) scores. At the student level, academic curriculum intensity, socioeconomic status (SES), the difference…
Descriptors: College Entrance Examinations, Curriculum, Grade Point Average, High School Students