Using SAT Math Scores to Identify Risk of Low Performance in First-Year College Math
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| Title: | Using SAT Math Scores to Identify Risk of Low Performance in First-Year College Math |
|---|---|
| Language: | English |
| Authors: | Jessica P. Marini, Emily J. Shaw, David Guzman, College Board |
| Source: | College Board. 2026. |
| Availability: | College Board. 250 Vesey Street, New York, NY 10281. Tel: 212-713-8000; e-mail: research@collegeboard.org; Web site: http://research.collegeboard.org |
| Peer Reviewed: | N |
| Page Count: | 19 |
| Publication Date: | 2026 |
| Document Type: | Reports - Research |
| Education Level: | Higher Education Postsecondary Education High Schools Secondary Education |
| Descriptors: | College Entrance Examinations, Mathematics Achievement, Scores, At Risk Students, Low Achievement, College Freshmen, High School Students, Grade Point Average, Predictor Variables, Student Characteristics, Grades (Scholastic) |
| Assessment and Survey Identifiers: | SAT (College Admission Test) |
| Abstract: | This study examines whether SAT Math scores provide meaningful information for identifying students at risk of earning a D, F, or withdrawing (DFW) from a first-year college math course, and whether that informational value shifted from a pre-pandemic (2018) to a post-pandemic (2023) cohort. Using data from the same 57 diverse four-year institutions, we estimate standardized mean differences and logistic regression models predicting DFW outcomes from SAT Math scores and high school GPA (HSGPA). Across both cohorts, SAT Math scores consistently differentiated students at risk of very poor performance, providing substantial incremental information beyond HSGPA. Moreover, the magnitude of this differentiation increased in 2023, particularly at more selective institutions. While HSGPA remains an important indicator of academic preparation, these findings suggest that SAT Math scores offer distinct and, in many contexts, increasingly valuable information for identifying students who may benefit from early academic support in math coursework. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED679434 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED679434 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED679434 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED679434 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 19 Subjects: – SubjectFull: College Entrance Examinations Type: general – SubjectFull: Mathematics Achievement Type: general – SubjectFull: Scores Type: general – SubjectFull: At Risk Students Type: general – SubjectFull: Low Achievement Type: general – SubjectFull: College Freshmen Type: general – SubjectFull: High School Students Type: general – SubjectFull: Grade Point Average Type: general – SubjectFull: Predictor Variables Type: general – SubjectFull: Student Characteristics Type: general – SubjectFull: Grades (Scholastic) Type: general – SubjectFull: SAT (College Admission Test) Type: general Titles: – TitleFull: Using SAT Math Scores to Identify Risk of Low Performance in First-Year College Math Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: College Board – PersonEntity: Name: NameFull: Jessica P. Marini – PersonEntity: Name: NameFull: Emily J. Shaw – PersonEntity: Name: NameFull: David Guzman IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Type: published Y: 2026 Titles: – TitleFull: College Board Type: main |
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