The Role of Ethnicity on the Gender Gap in Mathematics

doi:10.1017/CBO9780511614446.011

10 - The Role of Ethnicity on the Gender Gap in Mathematics

Published online by Cambridge University Press: 05 June 2012

Alyssa M. Walters and

Lisa M. Brown

Edited by

Ann M. Gallagher and

James C. Kaufman

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Alyssa M. Walters: Affiliation:
Educational Testing Sevice
Lisa M. Brown: Affiliation:
University of Florida
Ann M. Gallagher: Affiliation:
Law School Admissions Council, Newton, PA
James C. Kaufman: Affiliation:
California State University, San Bernardino

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Summary

Researchers have devoted a great deal of attention to gender differences in math perceptions and performance. Although the gap has closed at some levels, important differences persist and have been addressed in detail in previous chapters. However, when one throws ethnicity into the mix, the picture becomes far more complicated.

While the ethnicity gap has been decreasing over the past few decades, gender differences are a primary focus within the mathematics domain, ethnicity differences are a concern across a wide range of educational areas. This ethnicity gap has been decreasing over the past few decades, however, African American and Latino/Latina students consistently receive lower scores than do European American students across a wide range of high-stakes standardized tests (Camara & Schmidt, 1999; Jencks & Phillips, 1998). Moreover, African American and Latino/Latina high school students and college freshman (Ramist, Lewis, & McCamely-Jenkins, 1993) have lower average grades and class rank than their European American and Asian American counterparts (National Task Force on Minority High Achievement, 1999). In contrast, on most tests, the performance of Asian American test takers is similar to that of European American students. The one exception to this pattern is the Quantitative Test of the Graduate Record Examination where Asian American students score higher than European American students (Camara & Schmidt, 1999).

Given these gender and ethnic differences, then, some researchers suggested that women of color should be most disadvantaged group in a math context because they suffer from a double bind: they are ostensibly victims of additive effects related to both gender and ethnicity.

Type: Chapter
Information: Gender Differences in Mathematics
An Integrative Psychological Approach
, pp. 207 - 219

DOI: https://doi.org/10.1017/CBO9780511614446.011 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2004

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References

Aronson, J., Lusting, M., Good, C., Keogh, K., Steele, C., & Brown, J. (1999). When White men can't do math: Necessary and sufficient conditions for stereotype threat. Journal of Experimental Social Psychology, 35, 29–46CrossRef Google Scholar

Aronson, J., & Salinas, M. F. (1997, April). Stereotype threat: Is low performance the price of self-esteem for Mexican Americans? Paper presented to the Western Psychological Association Conference, Seattle, Washington

Astin, A. W., & Astin, H. S. (1993). Undergraduate science education: The impact of different college environments on the educational pipeline in the sciences. Los Angeles: Higher Education Research Institute, UCLA.

Benbow, C. P. (1988). Sex differences in mathematical reasoning ability among the intellectually talented: Their characterization, consequences, and possible explanations. Behavioral and Brain Sciences, 11, 169–183CrossRef Google Scholar

Brown, S. V. (1994). Under-represented minority women in science and engineering education. Princeton, NJ: Educational Testing Service

Camara, W., & Schmidt, A. E. (1999). Group differences in standardized testing and social stratification. (College Board Rep. No. 99–5). New York: College Board

Catsambis, S. (1994). The Path to Math: Gender and Racial-Ethnic Differences in Mathematics Participation from Middle School to High School, Sociology of Education, 67(3), 199–215. [Reprinted in L. A. Pepleau, S. Chapman DeBro, R. C. Veniegas, & P. L. Taylor (Eds.). (1998). Gender, Culture and Ethnicity. Mayfield Publishing, pp. 102–119.]

Cheryan, S., & Bodenhausen, G. (2000). When positive stereotypes threaten intellectual performance: The psychological hazards of “model minority” status. Psychological Science, 11, 399–402CrossRef Google Scholar PubMed

Coley, R. J. (2001). Differences in the gender gap: Comparisons across racial/ethnic groups in education and work. Princeton, NJ: Education Testing Service

Crocker, J., & Major, B. (1989). Social stigma and self-esteem: The self-protective properties of stigma. Psychological Review, 96, 608–630CrossRef Google Scholar

DeMars, C. E. (2000). Test stakes and item format interactions. Applied Measurement in Education, 13(1), 55–77CrossRef Google Scholar

Eccles, J., Barber, B., Jozefowicz, D., Malenchuk, O., & Vida, M. (1999). Self-evaluations of competence, task values, and self-esteem. In N. G. Johnson, M. C. Roberts, & J. Worell (Eds.), Beyond appearance: A new look at adolescent girls (pp. 53–88). Washington, DC: American Psychological Association

Gainor, K. A., & Lent, R. W. (1998). Social cognitive expectations and racial identity attitudes in predicting the math choice intentions of Black college students. Journal of Counseling Psychology, 45(4), 403–413CrossRef Google Scholar

Gandara, P. (1995). Over the Ivy Walls: The educational mobility of low-income Chicanos (Suny Series, Social Context of Education). Albany: State University of New York Press

Gibbins, N., & Bickel, R. (1991). Comparing public and private high schools using three SAT data sets. Urban Review, 23(2), 101–115CrossRef Google Scholar

Gonzales, P. M., Blanton, H., & Williams, K. J. (2002). The effects of stereotype threat and double-minority status on the test performance of Latino women. Personality & Social Psychology Bulletin, 28, 659–670CrossRef Google Scholar

Graduate Record Examination. (2001). Sex, race, ethnicity, and performance on the GRE General Test 2001–2002: A companion to the GRE Guide to the Use of Scores. Retrieved June 30, 2002, from Graduate Record Examinations Web site: http://www.gre.org/code1st.html

Hall, C. W., Davis, N. B., Bolen, L. M., & Chia, R. (1999). Gender and racial differences in mathematical performance. Journal of Social Psychology, 136(6), 677–689CrossRef Google Scholar

Hauck, A. L., & Finch, A. J. Jr. (1993). The effect of relative age on achievement in middle school. Psychology in the Schools, 30(1), 74–793.0.CO;2-E>CrossRef Google Scholar

Hurtado, A. (1997). Understanding multiple group identities: Inserting women into the cultural transformations. Journal of Social Issues, 53, 299–328CrossRef Google Scholar

Jencks, C., & Phillips, M. (Eds.). (1998). The black-white test score gap. Washington, DC: Brooking Institution Press

Kao, G. (1995). Asian Americans as model minorities? A look at their academic performance. American Journal of Education, 103, 121–159CrossRef Google Scholar

Laosa, L. (1978). Maternal teaching strategies in Chicano families of varied educational and socioeconomic levels. Child Development, 49, 1129–1135CrossRef Google Scholar

Morgan, R., & Maneckshana, B. (1996). The psychometric perspective: Lessons learned from 40 years of constructed response testing in the Advanced Placement Program. Paper presented at the annual meeting of the National Council of Measurement in Education in New York

National Center for Educational Statistics. (2002). Retrieved June 30, 2002, from http://nces.ed.gov/nationsreportcard/naepdata/

National Task Force on Minority High Achievement. (1999). Reaching the top: A report of the National Task Force on Minority High Achievement. New York: College Board

Niemann, Y. F., Jennings, L., Rozelle, R. M., & Baxter, J. C. (1994). Use of free responses and cluster analysis to determine the stereotypes of eight groups. Personality & Social Psychology Bulletin, 20, 379–390CrossRef Google Scholar

Pittinsky, T. L., Shih, M., & Ambady, N. (1999) Identity adaptiveness: Affect across multiple identities. Journal of Social Issues, 55(3), 503–518CrossRef Google Scholar

Post, P., Stewart, M., & Smith, P. (1991). Self-efficacy, interest, and consideration of math/science and non-math/science occupations among Black freshmen. Journal of Vocational Behavior, 38(2), 179–186CrossRef Google Scholar

Science editorial. (1992). Minorities in science: The pipeline problem. Science, 258

Seymour, E., & Hewitt, N. M. (1997). Talking about leaving. Boulder, CO: Westview Press

Shih, M., Pittinsky, T. L., & Ambady, N. (1999). Stereotype susceptibility: Identity salience and shifts in quantitative performance. Psychological Science, 10, 80–83CrossRef Google Scholar

Spencer, S., Steele, C., & Quinn, D. (1999). Stereotype threat and women's math performance. Journal of Experimental Social Psychology, 35, 4–28CrossRef Google Scholar

Steele, C., & Aronson, J. (1995). Stereotype threat and the intellectual performance of African Americans. Journal of Personality and Social Psychology, 69, 797–811CrossRef Google Scholar PubMed

Steen, L. A. (1987). Mathematics education: A predictor of scientific competitiveness. Science, 237, 251–253CrossRef Google Scholar PubMed

Strenta, C. R., Elliot, M., Matier, M., Scott, J., & Adair, R. (1994). “Choosing and leaving science in highly selective institutions,” Research in Higher Education, 35(5), 513–547CrossRef Google Scholar

Swanson, J. L., & Hansen, J. C. (1985). The relationship of the construct of academic comfort to educational level, performance, aspirations, and prediction of college major choices. Journal of Vocational Behavior, 26, 1–12CrossRef Google Scholar

Tomlinson, S. M., & Evans-Hughes, G. (1991). Gender, ethnicity, and students' responses to the Strong-Campbell Interest Inventory. Journal of Counseling and Development, 70, 151–155CrossRef Google Scholar

Tsang, S. L. (1988). The mathematics achievement characteristics of Asian-American students. In Rodney R. Cocking & Jose P. Mestre (Eds.), Linguistic and cultural influences on learning mathematics. The psychology of education and instruction (pp. 123–135). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc

Walters, A. M., Lee, S., & Trapani, C. (2004). Stereotype threat, the test center environment, and performances on the GRE general test (GRE Board Research Report). Princeton, NJ: Educational Testing Service