Abstract
The present study examines predictors of support for ethnicity-based affirmative action (AA) in college admissions. There is considerable work focused on predicting support for AA policies in employment, but there is comparative dearth of knowledge about reactions to AA in education. This work applies existing models of support for AA that include beliefs about AA policies (fairness, merit, diversity valuation, and prevalence of discrimination) and individual characteristics (sex, political orientation, and self-interest). White (n = 413) and Hispanic (n = 343) college students completed measures of the model predictors and reactions to a general AA policy and several specific policies (e.g., recruitment of minority applicants, different standards for admission). Regarding the general policy, those who more strongly valued diversity in educational setting and believed discrimination still existed indicated stronger support for general AA policy. Surprisingly, fairness, merit, gender, and political orientation did not uniquely predict support in either sample. Self-interest related to greater support for Hispanic participants only. Across specific policy applications, diversity valuation and recognition of ongoing discrimination were the also most consistent predictors. Findings highlight that models of support for AA in hiring may not be wholly applicable in predicting support for AA in educational admissions.
Similar content being viewed by others
Notes
I originally intended to include a measure specifically addressing merit in education settings but excluded this scale as it was not reliable (αs = .52 and .34).
I note that these factors are likely at play at many public universities.
References
Aberson, C. L. (2007a). Diversity experiences predict changes in attitudes toward affirmative action. Cultural Diversity and Ethnic Minority Psychology, 13(4), 285. https://doi.org/10.1037/1099-9809.13.4.285
Aberson, C. L. (2007b). Diversity, merit, fairness, and discrimination beliefs as predictors of support for affirmative action policy actions. Journal of Applied Social Psychology, 37(10), 2451–2474. https://doi.org/10.1111/j.1559-1816.2007.00266.x
Aberson, C. L. (2019). Applied power analysis for the behavioral sciences (2nd Ed.). Routledge, Taylor & Francis Group.
Aberson, C. L., & Haag, S. C. (2003). Beliefs about affirmative action and diversity and their relationship to support for hiring policies. Analyses of Social Issues and Public Policy, 3(1), 121–138. https://doi.org/10.1111/j.1530-2415.2003.00018.x
Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 2, pp. 267–299). Academic Press.
Adesokan, A. A., Ullrich, J., van Dick, R., & Tropp, L. R. (2011). Diversity beliefs as moderator of the contact–prejudice relationship. Social Psychology, 42(4), 271–278. https://doi.org/10.1027/1864-9335/a000058
Antwi-Boasiako, K. B., & Asagba, J. O. (2005). A preliminary analysis of African American college students’ perceptions of racial preferences and affirmative action in making admissions decisions at a predominantly White university. College Student Journal, 39(4), 734–748
Bobocel, D. R., Son Hing, L. S., Davey, L. M., Stanley, D. J., & Zanna, M. P. (1998). Justice-based opposition to social policies: Is it genuine? Journal of Personality and Social Psychology, 75(3), 653–669. https://doi.org/10.1037/0022-3514.75.3.653
Fisher v. University of Texas at Austin. (2016). 570 U.S. 297.
Grutter v. Bollinger. (2003). 539 U.S. 306.
Gurin, P., Dey, E. L., Hurtado, S., & Gurin, G. (2002). Diversity and higher education: Theory and impact on educational outcomes. Harvard Educational Review, 72(3), 330–366. https://doi.org/10.17763/haer.72.3.01151786u134n051.
Gurin, P., Nagda, B. A., & Lopez, G. E. (2004). The benefits of diversity in education for democratic citizenship. Journal of Social Issues, 60(1), 17–34. https://doi.org/10.1111/j.0022-4537.2004.00097.x
Harrison, D. A., Kravitz, D. A., Mayer, D. M., Leslie, L. M., & Lev-Arey, D. (2006). Understanding attitudes toward affirmative action programs in employment: Summary and meta-analysis of 35 years of research. Journal of Applied Psychology, 91(5), 1013–1036. https://doi.org/10.1037/0021-9010.91.5.1013
Hartlep, N. D., & Lowinger, R. J. (2014). An Exploratory study of undergraduates’ attitudes toward affirmative action policies for Asian Americans in college. Equity & Excellence in Education, 47(3), 370–384. https://doi.org/10.1080/10665684.2014.933694
Haslerig, S., Bernhard, L. M., Fuentes, M. V., Panter, A. T., Daye, C. E., & Allen, W. R. (2013). A compelling interest: Activating the benefits of classroom-level diversity. Journal of Diversity in Higher Education, 6(3), 158–173. https://doi.org/10.1037/a0034065
Kravitz, D. A., & Klineberg, S. L. (2000). Reactions to two versions of affirmative action among Whites, Blacks, and Hispanics. Journal of Applied Psychology, 85(4), 597–611. https://doi.org/10.1037/0021-9010.85.4.597
Leslie, L. M., Mayer, D. M., & Kravitz, D. A. (2014). The stigma of affirmative action: A stereotyping-based theory and meta-analytic test of the consequences for performance. Academy of Management Journal, 57(4), 964–989. https://doi.org/10.5465/amj.2011.0940
Lowinger, R. J., Sheng, Z., & Hyun, H. (2018). College students’ attitudes toward affirmative action policies for Asian Americans. North American Journal of Psychology, 20(3), 619–636
Plous, S. (1996). Ten myths about affirmative action. Journal of Social Issues, 52(4), 25–31. https://doi.org/10.1111/j.1540-4560.1996.tb01846.x
Proudfoot, D., & Lind, E. A. (2015). Fairness heuristic theory, the uncertainty management model, and fairness at work. In R. S. Cropanzano & M. L. Ambrose (Eds.), The Oxford handbook of justice in the workplace (2015-24777-017; pp. 371–385). Oxford University Press.
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software. https://doi.org/10.18637/jss.v048.i02.
Schmidt, C. K., Earnest, D. R., & Miles, J. R. (2019). Expanding the reach of intergroup dialogue: A quasi-experimental study of two teaching methods for undergraduate multicultural courses. Journal of Diversity in Higher Education. https://doi.org/10.1037/dhe0000124
Son Hing, L. S., Bobocel, D. R., & Zanna, M. P. (2002). Meritocracy and opposition to affirmative action: Making concessions in the face of discrimination. Journal of Personality and Social Psychology, 83(3), 493–509. https://doi.org/10.1037/0022-3514.83.3.493
Son Hing, L. S., Bobocel, D. R., Zanna, M. P., Garcia, D. M., Gee, S. S., & Orazietti, K. (2011). The merit of meritocracy. Journal of Personality and Social Psychology, 101(3), 433–450. https://doi.org/10.1037/a0024618
US Census Bureau. (2017). School enrollment of the Hispanic population: Two decades of growth. The United States Census Bureau. https://www.census.gov/newsroom/blogs/random-samplings/2017/08/school_enrollmentof.html.
van den Bos, K., Vermunt, R., & Wilke, H. A. M. (1997). Procedural and distributive justice: What is fair depends more on what comes first than on what comes next. Journal of Personality and Social Psychology, 72(1), 95–104. https://doi.org/10.1037/0022-3514.72.1.95
van den Bos, K., Lind, E. A., & Wilke, H. A. M. (2001). The psychology of procedural and distributive justice viewed from the perspective of fairness heuristic theory. In R. Cropanzano (Ed.), Justice in the workplace: From theory to practice (Vol. 2, 2000-14428-002; pp. 49–66). Lawrence Erlbaum Associates Publishers.
van Buuren, S., & Groothuis-Oudshoorn, K. (2011). Multivariate imputation by chained equations in R. Journal of Statistical Software. https://doi.org/10.18637/jss.v045.i03.
Zamani-Gallaher, E. M. (2007). The confluence of race, gender, and class among community college students: Assessing attitudes toward affirmative action in college admissions. Equity & Excellence in Education, 40(3), 241–251. https://doi.org/10.1080/10665680701434569
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Data and materials available at https://osf.io/wysf8/. The study was not preregistered. https://orcid.org/0000-0003-3481-7177.
Appendix: Policy Descriptions
Appendix: Policy Descriptions
Quota: A quota system that specifies admission for a certain number of students of each ethnicity (e.g., admit 20% minority students).
Not Qualified (NQ): Admission of students that are not qualified in order to meet diversity goals.
Race-Blind: Race-blind procedures where no information about an applicant’s ethnicity is seen by decision makers.
Recruit Active recruitment of minority applicants (E.g., recruit at high schools and community colleges with large minority populations).
Ignore Ethnicity: Explicit instructions to decisions makers to ignore ethnicity in admission decisions.
Support: Educational support programs for minority students (e.g., tutoring, study skills training).
Strong Preference: Minority applicants admitted instead of better-qualified white applicants unless the white applicant is much better qualified than the minority applicant.
Different Requirements: Minority students have slightly lower GPA and SAT requirements for admission.
Rights and permissions
About this article
Cite this article
Aberson, C.L. Predicting Support for Affirmative Action in Educational Admissions. Soc Just Res 34, 196–217 (2021). https://doi.org/10.1007/s11211-021-00366-z
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11211-021-00366-z