College Major and Gender Differences in the Prediction of College Grades. College Board Report No. 94-2 [electronic resource] / Maria Pennock-Roman.

Recent studies have found substantial reductions in gender differences in the prediction of academic achievement in colleges when variations in grading standards among courses were taken into account. This project examined gender differences in the prediction of freshman grades after controlling for...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Pennock-Roman, Maria
Corporate Authors: College Entrance Examination Board, Educational Testing Service
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1994.
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MARC

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245 1 0 |a College Major and Gender Differences in the Prediction of College Grades. College Board Report No. 94-2  |h [electronic resource] /  |c Maria Pennock-Roman. 
260 |a [S.l.] :  |b Distributed by ERIC Clearinghouse,  |c 1994. 
300 |a 25 p. 
500 |a ERIC Document Number: ED380493. 
500 |a Availability: College Board Publications, Box 886, New York, NY 10101-0886 ($15).  |5 ericd. 
520 |a Recent studies have found substantial reductions in gender differences in the prediction of academic achievement in colleges when variations in grading standards among courses were taken into account. This project examined gender differences in the prediction of freshman grades after controlling for differential course grading based on college majors. This method involved deriving variables that measured grading leniency using residual scores from the within-gender regressions of freshman grades on high school grades and scores on the Scholastic Aptitude Test for the non-Latino white group. The procedure worked quite well and generalized to other groups not involved in the derivation of the grading leniency scale. Nevertheless, there were modest, sometimes statistically significant, gender differences in prediction that remained after this control variable was introduced into the regressions. The largest and smallest differences for females between actual grades and grades predicted from the males' regressions tended to be found in African American and Asian American groups respectively. The results imply that the use of information on college majors is a reasonable, practical procedure for controlling grading leniency. Thirteen tables present analysis results. (Contains 32 references.) (Author/SLD) 
650 0 7 |a Academic Achievement.  |2 ericd. 
650 0 7 |a Asian Americans.  |2 ericd. 
650 0 7 |a Black Students.  |2 ericd. 
650 1 7 |a College Freshmen.  |2 ericd. 
650 0 7 |a Females.  |2 ericd. 
650 1 7 |a Grade Prediction.  |2 ericd. 
650 0 7 |a Grades (Scholastic)  |2 ericd. 
650 1 7 |a Grading.  |2 ericd. 
650 0 7 |a High School Students.  |2 ericd. 
650 0 7 |a High Schools.  |2 ericd. 
650 0 7 |a Higher Education.  |2 ericd. 
650 1 7 |a Majors (Students)  |2 ericd. 
650 0 7 |a Males.  |2 ericd. 
650 0 7 |a Research Methodology.  |2 ericd. 
650 1 7 |a Sex Differences.  |2 ericd. 
650 0 7 |a Standards.  |2 ericd. 
650 0 7 |a Student Evaluation.  |2 ericd. 
650 0 7 |a White Students.  |2 ericd. 
710 2 |a College Entrance Examination Board. 
710 2 |a Educational Testing Service. 
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