Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
Source
| College Board | 2 |
Author
| Kobrin, Jennifer L. | 2 |
| Chajewski, Michael | 1 |
| Haberman, Shelby J. | 1 |
| Kim, Rachel | 1 |
| Sackett, Paul | 1 |
| Sinharay, Sandip | 1 |
Publication Type
| Non-Print Media | 1 |
| Numerical/Quantitative Data | 1 |
| Reference Materials - General | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| SAT (College Admission Test) | 2 |
What Works Clearinghouse Rating
Direct linkKobrin, Jennifer L.; Sinharay, Sandip; Haberman, Shelby J.; Chajewski, Michael – College Board, 2011
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…
Descriptors: Multiple Regression Analysis, Goodness of Fit, College Entrance Examinations, Test Validity
Download full textKobrin, Jennifer L.; Kim, Rachel; Sackett, Paul – College Board, 2011
There is much debate on the merits and pitfalls of standardized tests for college admission, with questions regarding the format (multiple-choice versus constructed response), cognitive complexity, and content of these assessments (achievement versus aptitude) at the forefront of the discussion. This study addressed these questions by…
Descriptors: College Entrance Examinations, Mathematics Tests, Test Items, Predictive Validity
