A General Linear Model Approach to Adjusting the Cumulative GPA.

Young, John W.

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ455226

Record Type: Journal

Publication Date: 1992

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

A General Linear Model Approach to Adjusting the Cumulative GPA.

Young, John W.

Journal of Research in Education, v2 n1 p31-37 Spr 1992

Uses the general linear model to develop an adjusted cumulative grade point average (GPA) that systematically models grading effects among courses. A validation study using 778 courses of 1,564 Stanford (California) University students shows an increase in predictability of the adjusted least-squares GPA over the unadjusted GPA. (SLD)

Descriptors: Academic Achievement, Admission (School), Course Selection (Students), Error of Measurement, Evaluation Methods, Grade Point Average, Grading, Higher Education, Humanities, Least Squares Statistics, Mathematical Models, Natural Sciences, Predictive Validity, Undergraduate Students

Publication Type: Journal Articles; Reports - Evaluative; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A