The Far Reach of the Texas Top Ten Percent Plan: Consideration of Professional School Degrees

References

• Alexander, M. (2010). The war on drugs and the New Jim Crow. Race, Poverty & the Environment, 17(1), 75–77. https://www.reimaginerpe.org/files/Alexander.20th.17-1.pdf
   Google Scholar
• American Educational Research Association, American Anthropological Association, American Association for the Advancement of Science, American Political Science Association, American Sociological Association, American Statistical Association, Association for the Study of Higher Education, Law and Society Association, Linguistic Society of America, and the National Academy of Engineering. (2015). Brief of the American Educational Research Association et al. as amici curiae in support of respondents. https://www.aera.net/Portals/38/docs/Education_Research_and_Research_Policy/AMICUS%20Brief.pdf
   Google Scholar
• Anderson, J. D. (2002). Race in American higher education. In W. A. Smith, P. G. Altbach, & K. Lomotey (Eds.), The racial crisis in American higher education: Continuing challenges for the twenty-first century (pp. 3–22). State University of New York Press.
   Google Scholar
• Annamma, S. A., Jackson, D. D., & Morrison, D. (2017). Conceptualizing color-evasiveness: Using dis/ability critical race theory to expand a color-blind racial ideology in education and society. Race Ethnicity and Education, 20(2), 147–162. https://doi.org/10.1080/13613324.2016.1248837
   Web of Science ®Google Scholar
• An, B., Orlando, A. W., & Rodnyansky, S. (2019). The physical legacy of racism: How redlining cemented the modern built environment. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3500612
   Google Scholar
• Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1), 348–355. https://doi.org/10.1093/ije/dyw098
   PubMed Web of Science ®Google Scholar
• Bonilla-Silva, E. (2003). New racism,” color-blind racism, and the future of whiteness in America. In A. W. Doane & E. Bonilla-Silva (Eds.), White out: The continuing significance of racism (pp. 271–284). Routledge.
   Google Scholar
• Bonilla-Silva, E. (2015). The structure of racism in color-blind, “post-racial” America. American Behavioral Scientist, 59(11), 1358–1376. https://doi.org/10.1177/0002764215586826
   Web of Science ®Google Scholar
• Bowen, H. (Ed.). (2018). Investment in learning: The individual and social value of American higher education. Routledge.
   Google Scholar
• Carbado, D. W. (2013). Intraracial diversity. UCLA Law Review, 60, 1130–1183. http://www.uclalawreview.org/pdf/60-5-2.pdf
   Web of Science ®Google Scholar
• Cortes, K. E. (2010). Do bans on affirmative action hurt minority students? Evidence from the Texas Top 10% Plan. Economics of Education Review, 29(6), 1110–1124. https://doi.org/10.1016/j.econedurev.2010.06.004
   Web of Science ®Google Scholar
• Cortes, K. E., & Lincove, J. A. (2019). Match or mismatch? Automatic admissions and college preferences of low- and high-income students. Educational Evaluation and Policy Analysis, 41(1), 98–123. https://doi.org/10.3102/0162373718813360
   Web of Science ®Google Scholar
• Crenshaw, K. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299. https://doi.org/10.2307/1229039
   Google Scholar
• Cunningham, A., & Steele, P. (2015). Diversity pipeline programs in legal education: Context, research, and a path forward. Access Lex Institute Research Paper No. 15–02.
   Google Scholar
• Darity, W., Jr., Hamilton, D., Paul, M., Aja, A., Price, A., Moore, A., & Chiopris, C. (2018). What we get wrong about closing the racial wealth gap. The Samuel DuBois Cook Center on Social Equity and the Insight Center for Community Economic Development.
   Google Scholar
• Darity, W. A., Jr., & Mullen, A. K. (2020). From here to equality: Reparations for Black Americans in the twenty-first century. UNC Press.
   Google Scholar
• Deo, M. E. (2014). Empirically derived compelling state interests in affirmative action jurisprudence. Hastings Law Journal, 65(3), 661. https://repository.uchastings.edu/hastings_law_journal/vol65/iss3/2
   Web of Science ®Google Scholar
• Devkaran, S., & O’Farrell, P. N. (2015). The impact of hospital accreditation on quality measures: An interrupted time series analysis. BMC Health Services Research, 15(1), 1–14. https://doi.org/10.1186/s12913-015-0784-5
   PubMedGoogle Scholar
• Dressler, W. W., Oths, K. S., & Gravlee, C. C. (2005). Race and ethnicity in public health research: Models to explain health disparities. Annual Review of Anthropology, 34(1), 231–252. https://doi.org/10.1146/annurev.anthro.34.081804.120505
   Web of Science ®Google Scholar
• Espino, M. M. (2014). Exploring the role of community cultural wealth in graduate school access and persistence for Mexican American PhDs. American Journal of Education, 120(4), 545–574. https://doi.org/10.1086/676911
   Web of Science ®Google Scholar
• Espinosa, L. L., Turk, J. M., Taylor, M., & Chessman, H. M. (2019). Race and ethnicity in higher education: A status report. American Council on Education. https://www.equityinhighered.org/wp-content/uploads/2019/02/Race-and-Ethnicity-in-Higher-Education.pdf
   Google Scholar
• Evans, S. Y. (2007). Black women in the Ivory Tower, 1850 –1954. University Press of Florida.
   Google Scholar
• Fisher v. University of Texas at Austin et al., 570 U.S. 297 (2013).
   Google Scholar
• Fisher v. University of Texas at Austin et al., 579 U.S. (2016).
   Google Scholar
• Flores, S. M., & Horn, C. L. (2016). Texas Top Ten Percent Plan: How it works, what are its limits, and recommendations to consider. UCLA: The Civil Rights Project/Proyecto Derechos Civiles. https://escholarship.org/uc/item/4hm2n74b
   Google Scholar
• Frölich, M. (2004). Finite-sample properties of propensity-score matching and weighting estimators. The Review of Economics and Statistics, 86(1), 77–90. https://doi.org/10.1162/003465304323023697
   Web of Science ®Google Scholar
• Garces, L. M. (2012). Racial diversity, legitimacy, and the citizenry: The impact of affirmative action bans on graduate school enrollment. The Review of Higher Education, 36(1), 93–132. https://doi.org/10.1353/rhe.2012.0050
   Web of Science ®Google Scholar
• Garces, L. M. (2013). Understanding the impact of affirmative action bans in different graduate fields of study. American Educational Research Journal, 50(2), 251–284. https://doi.org/10.3102/0002831212470483
   Web of Science ®Google Scholar
• Garces, L. M., & Gordon da Cruz, C. (2017). A strategic racial equity framework. Peabody Journal of Education, 92(3), 322–342. https://doi.org/10.1080/0161956X.2017.1325592
   Google Scholar
• Garces, L. M., & Jayakumar, U. M. (2014). Dynamic diversity: Toward a contextual understanding of critical mass. Educational Researcher, 43(3), 115–124. https://doi.org/10.3102/0013189X14529814
   Web of Science ®Google Scholar
• Garces, L. M., & Mickey-Pabello, D. (2015). Racial diversity in the medical profession: The impact of affirmative action bans on underrepresented student of color matriculation in medical schools. The Journal of Higher Education, 86(2), 264–294. https://doi.org/10.1353/jhe.2015.0009
   PubMed Web of Science ®Google Scholar
• Grutter v. Bollinger, 539 U.S. 306 (2003).
   Google Scholar
• Harris, A. L., & Tienda, M. (2012). Hispanics in higher education and the Texas top ten percent law. Race and Social Problems, 4(1), 57–67. https://doi.org/10.1007/s12552-012-9065-7
   PubMedGoogle Scholar
• Hartmann, D. P., Gottman, J. M., Jones, R. R., Gardner, W., Kazdin, A. E., & Vaught, R. S. (1980). Interrupted time‐series analysis and its application to behavioral data. Journal of Applied Behavior Analysis, 13(4), 543–559. https://doi.org/10.1901/jaba.1980.13-543
   PubMed Web of Science ®Google Scholar
• Holley, D., & Spencer, D. (1999). The Texas Ten Percent Plan. Harvard Civil Rights-Civil Liberties Law Review, 34, 245. https://heinonline.org/HOL/LandingPage?handle=hein.journals/hcrcl34&div=12&id=&page=
   Web of Science ®Google Scholar
• Hopwood v. Texas, 78 F.3d 932 (5th Cir. 1996).
   Google Scholar
• Horn, C. L., & Flores, S. M. (2003). Percent plans in college admissions: A comparative analysis of three states’ experiences. The Civil Rights Project at Harvard University.
   Google Scholar
• Horn, C. L., & Flores, S. M. (2012). When policy opportunity is not enough: College access and enrollment patterns among Texas Percent Plan eligible students. Journal of Applied Research on Children, 3(2), 9. https://files.eric.ed.gov/fulltext/EJ1188937.pdf
   Google Scholar
• Horwitz, I. B., Sonilal, M., & Horwitz, S. K. (2011). Improving health care quality through culturally competent physicians: Leadership and organizational diversity training. Journal of Healthcare Leadership, 3, 29–40. https://doi.org/10.2147/JHL.S15620
   Google Scholar
• Hurtado, S. (2007). Linking diversity with the educational and civic missions of higher education. The Review of Higher Education, 30(2), 185–196. https://doi.org/10.1353/rhe.2006.0070
   Web of Science ®Google Scholar
• Hussar, B., Zhang, J., Hein, S., Wang, K., Roberts, A., Cui, J., Smith, M., Bullock Mann, F., Barmer, A., & Dilig, R. (2020). The condition of education 2020 (NCES 2020-144. U.S. Department of Education. National Center for Education Statistics. https://nces.ed.gov/pubs2020/2020144.pdf
   Google Scholar
• Jacob, R., Somers, M. A., Zhu, P., & Bloom, H. (2016). The validity of the comparative interrupted time series design for evaluating the effect of school-level interventions. Evaluation Review, 40(3), 167–198. https://doi.org/10.1177/0193841X16663414
   PubMed Web of Science ®Google Scholar
• Jandoc, R., Burden, A. M., Mamdani, M., Lévesque, L. E., & Cadarette, S. M. (2015). Interrupted time series analysis in drug utilization research is increasing: Systematic review and recommendations. Journal of Clinical Epidemiology, 68(8), 950–956. https://doi.org/10.1016/j.jclinepi.2014.12.018
   PubMed Web of Science ®Google Scholar
• Jones Brayboy, B. M. (2004). Hiding in the ivy: American Indian students and visibility in elite educational settings. Harvard Educational Review, 74(2), 125–152. https://doi.org/10.17763/haer.74.2.x141415v38360mg4
   Web of Science ®Google Scholar
• Law School Admission Council. (2019). Diversity in the US population & the pipeline to legal careers. https://www.lsac.org/data-research/data/diversity-us-population-pipeline-legal-careers
   Google Scholar
• Lemieux, T. (2008). The changing nature of wage inequality. Journal of Population Economics, 21(1), 21–48. https://doi.org/10.1007/s00148-007-0169-0
   Web of Science ®Google Scholar
• Linden, A. (2015) Conducting interrupted time-series analysis for single- and multiple-group comparisons. The Stata Journal, 15(2), 480–500. https://doi.org/10.1177/1536867X1501500208
   Web of Science ®Google Scholar
• Liu, G. (1998). Affirmative action in higher education: The diversity rationale and the compelling interest test. Harvard Civil Rights-Civil Liberties Law Review, 33, 381. https://heinonline.org/HOL/LandingPage?handle=hein.journals/hcrcl33&div=22&id=&page=.
   Web of Science ®Google Scholar
• Long, M. C., Saenz, V. B., & Tienda, M. (2010). Policy transparency and college enrollment: Did the Texas top 10% law broaden access to the public flagships? The ANNALS of the American Academy of Political and Social Science, 627(1), 82–105. https://doi.org/10.1177/0002716209348741
   PubMedGoogle Scholar
• Lu, D., Huang, J., Seshagiri, A., Park, H., & Griggs, T. (2020, September 9). Faces of power: 80% are white, even as U.S. becomes more diverse. The New York Times. https://www.nytimes.com/interactive/2020/09/09/us/powerful-people-race-us.html
   Google Scholar
• Lunt, M. (2014). Selecting an appropriate caliper can be essential for achieving good balance with propensity score matching. American Journal of Epidemiology, 179(2), 226–235. https://doi.org/10.1093/aje/kwt212
   PubMed Web of Science ®Google Scholar
• Maramba, D. C., Sulè, V. T., & Winkle-Wagner, R. (2015). What discourse on the Texas Top Ten Percent Plan says about accountability for diversity. The Journal of Higher Education, 86(5), 751–776. https://doi.org/10.1080/00221546.2015.11777382
   Web of Science ®Google Scholar
• Meyers, L. S., Gamst, G., & Guarino, A. J. (2016). Applied multivariate research: Design and interpretation. Sage Publications.
   Google Scholar
• Mickey-Pabello, D., & Garces, L. M. (2018). Addressing racial health inequities: Understanding the impact of affirmative action bans on applications and admissions in medical schools. American Journal of Education, 125(1), 79–108. https://doi.org/10.1086/699813
   Web of Science ®Google Scholar
• Montejano, D. (2001). Access to the University of Texas at Austin and the Ten Percent Plan: A three-year assessment. University of Texas.
   Google Scholar
• Olivas, M. A. (2005). Brown and the desegregative ideal: Location, race, and college attendance policies. Cornell Law Review, 90(2), 391–417. https://scholarship.law.cornell.edu/cgi/viewcontent.cgi?article=2983&context=clr
   Web of Science ®Google Scholar
• Posselt, J. R., & Grodsky, E. (2017). Graduate education and social stratification. Annual Review of Sociology, 43(1), 353–378. https://doi.org/10.1146/annurev-soc-081715-074324
   PubMed Web of Science ®Google Scholar
• Ray, V., & Purifoy, D. (2019). The colorblind organization. In M. E. Wooten (Ed.), Race, organizations, and the organizing process (pp. 131–150). Emerald Publishing Limited.
   Google Scholar
• Regents of the University of California v. Bakke, 438 U.S. 265 (1978).
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Siegel, S. A. (2006). The origin of the compelling state interest test and strict scrutiny. American Journal of Legal History, 48(4), 355–407. https://doi.org/10.2307/25469981
   Google Scholar
• Smedley, B. D., Butler, A. S., & Bristow, L. R. (Eds.). (2004). In the nation’s compelling interest: Ensuring diversity in the health-care workforce. National Academies Press.
   Google Scholar
• Social Scientists. (2015). Brief of 823 social scientists as amici curiae in support of respondents. https://civilrightsproject.ucla.edu/legal-developments/legal-briefs/amicus-brief-of-social-scientists-in-fisher-case/14-981-823-social-scientists-fisher.pdf
   Google Scholar
• Solórzano, D. G., & Villalpando, O. (1998). Critical race theory: Marginality and the experience of students of color in higher education. In C. A. Torres & T. R. Mitchell (Eds.), Sociology of education: Emerging perspectives (pp. 211–224). State University of New York Press.
   Google Scholar
• Stewart, D. L. (2020). Twisted at the roots: The intransigence of inequality in U.S. higher education. Change: The Magazine of Higher Learning, 52(2), 13–16. https://doi.org/10.1080/00091383.2020.1732753
   Google Scholar
• Students for Fair Admissions. (2020). Students for fair admissions files new federal lawsuit against the Univ. of Texas-Austin. https://studentsforfairadmissions.org/students-for-fair-admissions-files-new-federal-lawsuit-against-the-univ-of-texas-austin/
   Google Scholar
• Sullivan, L. W. (2004). Missing persons: Minorities in the health professions: A report of the Sullivan Commission on Diversity in the Healthcare Workforce. The Sullivan Commission. https://drum.lib.umd.edu/bitstream/handle/1903/22267/Sullivan_Final_Report_000.pdf?sequence=1&isAllowed=y
   Google Scholar
• Texas Department of State Health Services. (2020). Texas demographic trends, characteristics, and population projections. https://demographics.texas.gov/Resources/Presentations/OSD/2020/2020_10_09_AmericanSocietyofCivilEngineersAustinChapter.pdf
   Google Scholar
• Valletta, R. (2015). Higher education, wages, and polarization. Federal Reserve Bank of San Francisco Economic Letter. https://www.frbsf.org/economic-research/files/el2015-02.pdf
   Google Scholar
• Wilkerson, I. (2020, July 1). America’s enduring caste system. The New York Times. https://www.nytimes.com/2020/07/01/magazine/isabel-wilkerson-caste.html?referringSource=articleShare
   Google Scholar
• Wong, M., Cook, T. D., & Steiner, P. M. (2009). no child left behind: An interim evaluation of its effects on learning using two interrupted time series each with its own non-equivalent comparison series. Institute for Policy Research (Working paper 09-11), 18.
   Google Scholar
• Zuberi, T. (2001). Thicker than blood: How racial statistics lie. University of Minnesota Press.
   Google Scholar