ERIC Number: EJ1423889
Record Type: Journal
Publication Date: 2024
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1062-7197
EISSN: EISSN-1532-6977
Decomposing High-School GPA as a Predictor of First-Year GPA
Jeffrey T. Steedle; Jason D. Way
Educational Assessment, v29 n1 p21-35 2024
Despite lack of standardization, high school grade-point average (HSGPA) is frequently the best single predictor of first-year postsecondary GPA (FYGPA). This study evaluated the extent to which HSGPA reflected standardized test scores, social-emotional learning (SEL) competencies, demographics, and high-school characteristics. Dominance analysis indicated that the variance in HSGPA accounted for by the available predictors reflected mainly academic achievement, followed by SEL, student demographics, and school characteristics. In structural equation models to predict FYGPA, HSGPA accounted for some of the predictive power of achievement test scores, SEL, demographics, and high-school characteristics. Overall, results were consistent with the interpretation of HSGPA as a measure of much more than knowledge and skills learned in the classroom. The predictive value of HSGPA likely arises from similarity in the degrees to which HSGPA and FYGPA reflect a combination of academic achievement, SEL, and other personal and school characteristics.
Descriptors: High School Students, Grade Point Average, Predictor Variables, College Freshmen, Standardized Tests, Social Emotional Learning, Student Characteristics, Institutional Characteristics, Academic Achievement
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A