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Gender Bias in the Prediction of College Course Performance
Author(s) -
MeCornack Robert L.,
McLeod Mary M.
Publication year - 1988
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1988.tb00311.x
Subject(s) - aptitude , gender bias , psychology , test (biology) , selection (genetic algorithm) , selection bias , point (geometry) , mathematics education , statistics , developmental psychology , social psychology , mathematics , computer science , paleontology , geometry , artificial intelligence , biology
Is the relationship of college grades to the traditional predictors of aptitude test scores and high school grades different for men and women? The usual gender bias of underpredicting the grade point averages of women may result from gender‐related course selection effects. This study controlled course selection effects by predicting single course grades rather than a composite grade from several courses. In most of the large introductory courses studied, no gender bias was found that would hold up on cross‐validation in a subsequent semester. Usually, it was counterproductive to adjust grade predictions according to gender. Grade point average was predicted more accurately than single course grades