Research in Higher Education

, Volume 25, Issue 1, pp 55–67 | Cite as

Sex differences in quantitative and analytical GRE performance: An exploratory study

  • Corinna A. Ethington
  • Lee M. Wolfle


The exploratory data analysis method of median polishing was used in this study to examine patterns of differences in male and female performance on the Graduate Record Examination quantitative and analytical tests. Consistent with results of previous studies using a younger cohort of students, males were found overall to outperform females on the quantitative measure but not on the analytical measure. However, this pattern was found not to be consistent across all undergraduate majors. Women in the engineering and physical science majors were found to perform higher on both measures than would be expected.


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  1. Armstrong, J. M. (1981). Achievement and participation of women in mathematics: results of two national surveys.Journal for Research in Mathematics Education 12: 356–372.Google Scholar
  2. Bart, W. M., Baxter, J., and Frey, S. (1980). The relationship of spatial ability and sex to formal reasoning capabilities.The Journal of Psychology 104: 191–198.Google Scholar
  3. Benbow, C. P., and Stanley, J. C. (1980). Sex differences in mathematical ability: fact or artifact?Science 210: 1262–1264.Google Scholar
  4. Benbow, C. P., and Stanley, J. C. (1983). Sex differences in mathematical reasoning ability: more facts.Science 222: 1029–1031.Google Scholar
  5. Cole, J. R. (1981). Women in science.American Scientist 69: 385–391.Google Scholar
  6. Cramer, E. M., and Applebaum, M. I. (1980). Nonorthogonal analysis of variance — once again.Psychological Bulletin 87: 51–57.Google Scholar
  7. Educational Testing Service (1984).GRE 1984–85 Information Bulletin. Princeton, N.J.: ETS.Google Scholar
  8. Educational Testing Service (1985).Taking the SAT. Princeton, N.J.: ETS.Google Scholar
  9. Ethington, C. A., and Wolfle, L. M. (1984). Sex differences in a causal model of mathematics achievement.Journal for Research in Mathematics Education 15: 361–377.Google Scholar
  10. Ethington, C. A., and Wolfle, L. M. (1986). A structural model of mathematics achievement for men and women.American Educational Research Journal 23: 65–75.Google Scholar
  11. Fennema, E. (1980). Sex-related differences in mathematics achievement: where and why. In L. H. Fox, L. Brody, and D. Tobin, (Eds.),Women and the Mathematical Mystique. Baltimore: Johns Hopkins University Press.Google Scholar
  12. Fennema, E., and Carpenter, T. P. (1981). Sex-related differences in mathematics: results from the National Assessment.Mathematics Teacher 74: 554–559.Google Scholar
  13. Fennema, E., and Sherman, J. (1977). Sex-related differences in mathematics achievement, spatial visualization and affective factors.American Educational Research Journal 14: 51–71.Google Scholar
  14. Geschwind, N. (1982).The chemical aspects of brain, behavior, and neural plasticity. Paper presented at the meeting of the Institute for Child Development Research, Philadelphia, June.Google Scholar
  15. Hilton, T. L., and Berglund, G. W. (1974). Sex differences in mathematics achievement — a longitudinal study.Journal of Educational Research 67: 231–237.Google Scholar
  16. Hinkelmann, K. (1975). Hypothesis testing in linear models.American Statistician 29: 110.Google Scholar
  17. Hocking, R. R., and Speed, F. M. (1975). A full rank analysis of some linear model problems.Journal of the American Statistical Association 70: 706–712.Google Scholar
  18. Keren, G., and Lewis, C. (1977). A comment on coding in nonorthogonal designs.Psychological Bulletin 84: 346–348.Google Scholar
  19. Kutner, M. (1974). Hypothesis testing in linear models (Eisenhart model I).American Statistician 28: 98–100.Google Scholar
  20. Maccoby, E. E. (1966). Sex differences in intellectual functioning. In E. E. Maccoby (ed.),The Development of Sex Differences. Stanford, Calif.: Stanford University Press.Google Scholar
  21. Maccoby, E. E., and Jacklin, C. N. (1974).Psychology of Sex Differences. Palo Alto, Calif.: Stanford University Press.Google Scholar
  22. Maier, N. R. F., and Casselman, G. G. (1971). Problem-solving ability as a factor in selection of major in college: comparison of the processes of idea-getting and making essential distinctions in males and females.Psychological Reports 28: 503–514.Google Scholar
  23. McPeek, W. M., Tucker, C. B., and Chalifour, C. L. (1985). The analytical score: what it measures and what it doesn't. Paper presented at the annual meeting of the American Educational Research Association, Chicago, April.Google Scholar
  24. National Assessment of Educational Progress. (1975).The First National Assessment of Mathematics: An Overview (NAEP Report 04-MA-40). Denver: Education Commission of the States.Google Scholar
  25. National Assessment of Educational Progress. (1983).The Third National Mathematics Assessment: Results and Issues (NAEP Report 13-MA-01). Denver: Education Commission of the States.Google Scholar
  26. Pallas, A. M., and Alexander, K. L. (1983). Sex differences in quantitative SAT performance: new evidence on the differential coursework hypothesis.American Educational Research Journal 20: 165–182.Google Scholar
  27. Pattison, P., and Grieve, N. (1984). Do spatial skills contribute to sex differences in different types of mathematics problems?Journal of Educational Psychology 76: 678–689.Google Scholar
  28. Sherman, J. (1967). Problem of sex differences in space perception and aspects of intellectual functioning.Psychological Review 74: 290–299.Google Scholar
  29. Sherman, J. (1979). Predicting mathematics performance in high school girls and boys.Journal of Educational Psychology 71: 242–249.Google Scholar
  30. Sherman, J. (1980). Mathematics, spatial visualization, and related factors: changes in girls and boys, grades 8–11.Journal of Educational Psychology 72: 476–482.Google Scholar
  31. Swinton, S., and Powers, D. (1979). Patterns of abilities among groups of intended graduate majors. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, April.Google Scholar
  32. Swinton, S., and Powers, D. (1980).A Factor Analytic Study of the Restructured GRE Aptitude Test. GRE Board Professional Report GREB No. 77-6P, Princeton, N.J.Google Scholar
  33. Tukey, J. W. (1977).Exploratory Data Analysis. Reading, Mass.: Addison-Wesley.Google Scholar
  34. U.S. Department of Commerce. (1980).Statistical Abstracts of the United States (101 ed.). Washington: U.S. Government Printing Office.Google Scholar
  35. Velleman, P. F., and Hoaglin, D. C. (1981).Applications, Basics and Computing of Exploratory Data Analysis. Boston: Duxbury Press.Google Scholar
  36. Wild, C. L. (1985). The analytical score: research leading to a new measure. Paper presented at the annual meeting of the American Educational Research Association, Chicago, April.Google Scholar
  37. Wilson, J. W. (1972).Patterns of Mathematics Achievement in Grade II: Z Population (National Longitudinal Study of Mathematical Abilities, No. 17). Stanford, Calif.: School Mathematics Study Group.Google Scholar
  38. Wise, L. K., Steel, L., and MacDonald, C. (1979).Origins and Career Consequences of Sex Differences in High School Mathematics Achievement (Report to the National Institute of Education, Grant No. NIE-G-78-001). Palo Alto, Calif.: American Institutes for Research.Google Scholar
  39. Wood, R. (1976). Sex differences in mathematics attainment at GCE ordinary level.Educational Studies 2: 141–160.Google Scholar

Copyright information

© Agathon Press, Inc. 1986

Authors and Affiliations

  • Corinna A. Ethington
    • 1
  • Lee M. Wolfle
    • 2
  1. 1.College of EducationUniversity of Illinois at ChicagoChicago
  2. 2.Virginia Polytechnic Institute and State UniversityUSA

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