Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| College Entrance Examinations | 1 |
| College Freshmen | 1 |
| Goodness of Fit | 1 |
| Grade Point Average | 1 |
| Multiple Regression Analysis | 1 |
| Predictive Validity | 1 |
| Test Validity | 1 |
Source
| College Board | 1 |
Author
| Chajewski, Michael | 1 |
| Haberman, Shelby J. | 1 |
| Kobrin, Jennifer L. | 1 |
| Sinharay, Sandip | 1 |
Publication Type
| Numerical/Quantitative Data | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| SAT (College Admission Test) | 1 |
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
