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Research article summary (published 30 Dec 2002):

A comparative evaluation of methods of adjusting GPA for differences in grade assignment practices.

Full Abstract

Numerous methods have been proposed for constructing an adjusted grade point average (adjusted-GPA) that controls for differences in grading standards across college courses and departments. Compared to the raw GPA, adjusted-GPA measures are generally more predictable from preadmissions variables, such as standardized tests and high school achievement. Relative rankings of students on adjusted-GPA measures are also more consistent with their relative standings within courses. This study compared the performance of 4 polytomous IRT and 3 linear models for constructing adjusted-GPA measures. Unlike previous studies, the regression weights of predictor variables and the course parameter estimates used to compute adjusted-GPA were cross-validated. Adjusted-GPA retained noticeable advantages over raw GPA on cross-validation. The largest advantages were seen in the multiple correlation of adjusted-GPA with preadmission variables, when adjusted-GPA was constructed with the rating scale and partial credit IRT models. The cross-validity of adjusted-GPA was the weakest with the graded response model.

 

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Author information

Author/s: Lei, Pui-Wa (PW); Bassiri, Dina (D); Schulz, E Matthew (EM);

Affiliation: Department of Educational and School Psychology and Special Education, 201 CEDAR Building, The Pennsylvania State University, University Park, PA 16802, USA. puiwa(-atsign-)psu.edu

Journal and publication information

Publication Type: Comparative Study; Evaluation Studies; Journal Article

Journal: Journal of applied measurement (J Appl Meas), published in United States. (Language: eng)

Reference: 2003-; vol 4 (issue 1) : pp 70-86

Dates: Created 2003/04/17; Completed 2003/05/06; Revised 2006/11/15;

PMID: 12700432, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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