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A Tale of Two Groups: Differences Between Minority Students and Non-Minority Students in their Predispositions to and Engagement with Diverse Peers at a Predominantly White Institution

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Abstract

Using a revised version of the Transition to College Model (Locks et al. 2008, Rev High Educ 31(3), 257–285), this study examined the extent to which minority students and non-minority students differ in their predispositions to engage in campus-based diversity activities as well as in their engagement with ethnically diverse college peers at a predominantly White college. Findings indicate that engagement with diverse peers is a learned behavior; one that was shaped long before a student stepped into college. The importance of past interactions with diverse peers extends beyond freshman year predispositions to engage; students who interacted with diverse students prior to college were also more prone to report engagement with diverse peers at the end of their sophomore year. Notably, freshmen minority students were more predisposed to engage diverse peers next to their White peers; these ethnic-based differences, however, dissipated by the end of the sophomore year of college.

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Notes

  1. We consulted with Gregory R. Hancock, Ralph Mueller and technical personnel at Scientific Software International regarding the availability of modern methods to handle missing cases for ordinal and categorical variables. These methods are not available.

  2. CFA as opposed to Exploratory Factor Analysis (EFA) is chosen for this analysis. CFA starts with a theoretically derived model, and assesses how well the data fit the model. EFA on the other hand explores the data to ‘discover’ underlying structures that may be present. CFA begins with theory, and allows the researcher to determine whether or not the theory should be rejected (Hancock and Mueller 2008a; Kline 2005). CFA also allows the researcher to test alternative conceptualizations of the factors underscoring a latent construct (Byrne 2006).

  3. None of the minority groups per se were large enough to conduct tests of model invariance across both CFA and structural models (African American = 59: Asian American = 119; Hispanic = 31; Biracial = 37). Consequently, we combined all minority groups into one group after a series of MANOVA analyses revealed no significant differences across most minority groups for most of the 15 variables under consideration.

References

  • Allport, G. (1954). The nature of prejudice. Cambridge, MA: Addison-Wesley.

    Google Scholar 

  • Ancis, J. R., Sedlaceck, W. E., & Mohr, J. J. (2000). Student perceptions of campus cultural climate by race. Journal of Counseling and Development, 78(2), 180–185.

    Google Scholar 

  • Antonio, A. L. (2001). Diversity and the influence of friendship groups in college. Review of Higher Education, 25(1), 63–89.

    Article  Google Scholar 

  • Astin, A. W. (1993). What matters in college: Four critical years revisited. San Francisco: Jossey Bass.

    Google Scholar 

  • Bentler, P. M., & Wu, E. J. C. (2002). EQS for Windows User’s Guide. Encino, CA: Multivariate Software, Inc.

    Google Scholar 

  • Braddock, J. (1980). The perpetuation of segregation across levels of education: A behavioral assessment of the contact hypothesis. Sociology of Education, 53, 178–186.

    Article  Google Scholar 

  • Braddock, J. H., & Slavin, R. E. (1993). Why ability grouping must end: Achieving excellence and equity in American education. Journal of Intergroup Relations, 20, 51–64.

    Google Scholar 

  • Braxton, J. M., Hirschy, A. S., & McClendon, S. A. (2004). Understanding and reducing college student departure.ASHE-ERIC Higher Education Report (Vol. 30, No. 3). San Francisco: Jossey-Bass.

  • Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts applications, and programming. Mahwah, NJ: Laurence Erlbaum Associates.

    Google Scholar 

  • Cabrera, A., & Nora, A. (1994). College students’ perceptions of prejudice and discrimination and their feelings of alienation: A construct validation approach. Review of Education/Pedagogy/Cultural Studies, 16(3–4), 387–409.

    Google Scholar 

  • Cabrera, A. F., Nora, A., Terenzini, P. T., Pascarella, E., & Hagedorn, L. S. (1999). Campus Racial climate and the adjustment of students to college. Journal of Higher Education, 702, 134–160.

    Article  Google Scholar 

  • Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32.

    Article  Google Scholar 

  • Chang, M. J. (1996). Racial diversity in higher education: Does a racially mixed student population affect educational outcomes? Ph.D. dissertation, University of California, Los Angeles.

  • Chang, M. (1999). Does racial diversity matter?: The educational impact of a racially diverse undergraduate population. Journal of College Student Development, 40(4), 377–395.

    Google Scholar 

  • Chang, M. J. (2001). The positive educational effects of racial diversity on campus. In G. Orfield (Ed.), Diversity challenged: Evidence on the impact of affirmative action (pp. 175–186). Cambridge, MA: Harvard Education Publishing Group.

    Google Scholar 

  • Chang, M. J. (2002). The impact of an undergraduate diversity course requirement on students’ racial views and attitudes. The Journal of General Education, 51(1), 21–42.

    Article  Google Scholar 

  • Chang, M. J., Denson, N., Saenz, V., Misa, K. (2005). The educational benefits of sustaining cross-racial interaction among undergraduates. Research & Occasional Paper Series: CSHE.2.05.

  • Chickering, A. W., Reisser, L. (1993). Education and identity. San Francisco: Jossey-Bass.

  • de Vise, D. (2009, Nov 6). U-Md. students protest official’s firing: Diversity post will become part time to cut costs, school says. The Washington Post. http://www.washingtonpost.com/wpdyn/content/article/2009/11/05/AR2009110502997.html.

  • Erickson, E. H. (1956). The problem of ego identity. Journal of the American Psychoanalytic Association, 4(1), 56–121.

    Article  Google Scholar 

  • Erikson, E. (1946). Ego development and historical change. Psychoanalytic Study of the Child, 2, 359–396.

    Google Scholar 

  • Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). Greenwich, Connecticut: IAP.

    Google Scholar 

  • Gurin, P. (1999). The compelling need for diversity in higher education. Expert testimony in Gratz et al. v. Bollinger et al. Michigan Journal of Race & Law, 5, 363–425.

    Google Scholar 

  • Gurin, P., Dey, E., Hurtado, S., & Gurin, G. (2002). Diversity and higher education: Theory and impact on educational issues. Harvard Educational Review, 72, 330–366.

    Google Scholar 

  • Hancock, G. R. (2006). Power analysis in covariance structure modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 69–115). Greenwich, CT: IAP.

    Google Scholar 

  • Hancock, G. R., Mueller, R. O. (2001). Rethinking construct reliability within the latent variable systems. In R. Cudeck, S. du Toit, D. Sörbom (Eds.), Structural equation modeling: Present and future-A Festschrift in honor of Karl Jöreskog (pp. 195–216). Lincolnwood, IL: Scientific Software International.

  • Hancock, G. R., Mueller, R. O. (2008a). Structural equation modeling: The first course. New York: Scientific Software International.

  • Hancock, G. R., Mueller, R. O. (2008b). Structural equation modeling with LISREL: A second course. New York: Scientific Software International.

  • Haussmann, L. R., Feifei, Y., Schofield, J. W., & Woods, R. L. (2009). Sense of belonging and persistence in White and African American First-Year students. Research in Higher Education, 50, 649–669.

    Article  Google Scholar 

  • Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

    Article  Google Scholar 

  • Hughes, M. (1994). Helping students understand and appreciate diversity. In C. Schroeder & P. Mable (Eds.), Realizing the educational potential of residence halls (pp. 190–217). San Francisco: Jossey-Bass.

    Google Scholar 

  • Hurtado, S. (2003). Preparing college students for a diverse democracy: Final report to the US Department of Education, OERI, Field Initiated Studies Program.

  • Hurtado, S., Dey, E. L., Gurin, P., & Gurin, G. (2003). College environments, diversity, and student learning. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 18, pp. 145–190). UK: Kluwer Academic Publishers.

  • Hurtado, S., Engberg, M. E., Ponjoun, L., & Landreman, L. (2002). Students’ precollege preparation for participation in a diverse democracy. Research in Higher Education, 43(2), 163–186.

    Article  Google Scholar 

  • Hurtado, S., Milem, J., Clayton-Pederson, A. R., & Allen, W. R. (1998). Enhancing campus climates for racial/ethnic diversity: Educational policy and practice. The Review of Higher Education, 21(3), 279–302.

    Google Scholar 

  • Jayakumar, U. M. (2008). Can higher education meet the needs of an increasingly diverse and global society? Harvard Education Review, 78(4), 615–651.

    Google Scholar 

  • Joreskog, K. G., & Sorbom, D. (2006). LISREL 8.8: Interactive LISREL: Technical support. Mooresville, IN: Scientific Software.

    Google Scholar 

  • Khmelkov, V. T., Hallinan, M. T. (1999). Organizational effects on race relations in schools. Journal of Social Issues, 55(4), 627–645.

    Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.

    Google Scholar 

  • Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J., & Gonyea, R. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence. Journal of Higher Education, 79(5), 540–563.

    Article  Google Scholar 

  • Kuh, G. D., & Hu, S. (2001). The effects of student–faculty interaction in the 1990’s. Review of Higher Education, 24(3), 309–332.

    Article  Google Scholar 

  • Laird, T. F., Engberg, M. E., & Hurtado, S. (2005). Modeling accentuation effects: Enrolling in a diversity course and the importance of social action engagement. Journal of Higher Education, 76(4), 448–476.

    Article  Google Scholar 

  • LaNasa, S. M., Cabrera, A. F., Transgrud, H., Alleman, N. (2007). Engagement as a proxy for learning: Testing Pascarella’s “Model of engagement” with NSSE items.

  • Locks, A. M., Hurtado, S., Bowman, N. A., & Oseguera, L. (2008). Extending notions of campus climate and diversity to students’ transitions to college. Review of Higher Education, 31(3), 257–285.

    Google Scholar 

  • Milem, J. F. (1994). College, students, and racial understanding. Thought and Action, 9(2), 51–92.

    Google Scholar 

  • Milem, J. F. (2004). The educational benefits of diversity: Evidence from multiple sectors. In M. Chang, D. Witt, J. Jones, & K. Hakuta (Eds.), Compelling interest: Examining the evidence of racial dynamics in higher education. Palo Alto, CA: Stanford University Press.

    Google Scholar 

  • Milem, J. F., Chang, M. J., & Antonio, A. L. (2005). Making diversity work on campus: A research-based perspective. Washington, DC: American Association of Colleges and Universities.

    Google Scholar 

  • Milem, J. F., & Hakuta, K. (2000). The benefits of racial and ethnic diversity in higher education, featured report. In D. Wilds (Ed.), Minorities in higher education: Seventeenth annual status report (pp. 39–67). Washington, DC: American Council on Education.

  • Milem, J. F., & Umbach, P. T. (2003). The influence of pre-college factors on predispositions regarding diversity activities in college. Journal of College Student Development, 44(5), 611–624.

    Article  Google Scholar 

  • Moody, J. (2001). Race, school integration and friendship segregation in America: School. The American Journal of Sociology, 107(3), 679–716.

    Article  Google Scholar 

  • Museus, S. D., Nichols, A. H., & Lambert, A. D. (2008). Racial differences in the effects of campus racial climate on persistence: A structural equation model. Review of Higher Education, 32(1), 107–134.

    Article  Google Scholar 

  • Newcomb, T. L. (1943). Personality and social change: Attitude formation in a student community. New York: Dryden Press.

    Google Scholar 

  • Pascarella, E. (2006). How college affects students: Ten directions for future research. Journal of College Student Development, 47(5), 508–520.

    Article  Google Scholar 

  • Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. San Francisco: Jossey-Bass.

    Google Scholar 

  • Piaget, J. (1985). The equilibration of cognitive structures: The central problem of intellectual development. Chicago: University of Chicago Press.

    Google Scholar 

  • Pike, G. R. (2002). The Differential Effects of On- and Off-Campus Living Arrangements on Students’ Openness to Diversity. Journal of Student Affairs Research and Practice, 39, 4.

    Google Scholar 

  • Pike, G. R., Kuh, G. D., & Gonyea, R. M. (2007). Evaluating the rationale for affirmative action in college admissions: Direct and indirect relationships between campus diversity and gains in understanding diverse groups. Journal of College Student Development, 48(2), 166–182.

    Article  Google Scholar 

  • Porter, S. R. (2004). Overcoming Survey Research Problems. New Directions for Institutional Research. Number 121. Bass: Jossey.

    Google Scholar 

  • Raykov, T., & Marcoulides, G. A. (2008). A first course in structural equation modeling (2nd ed.). Routledge: Psychology press.

    Google Scholar 

  • Ruble, D. N. (1994). A phase model of transitions: Cognitive and motivational Consequences. Advances in Experimental Social Psychology, 26, 163–214.

    Article  Google Scholar 

  • Saenz, V. B. (2005). Breaking the cycle of segregation: Examining students’ pre- college racial environments and their diversity experiences in college. Unpublished doctoral dissertation. University of California, Los Angeles.

  • Saenz, V. B., Ngai, H. N., & Hurtado, S. (2007). Factors influencing positive interactions across race for African American, Asian, Latino and White college students. Research in Higher Education, 48, 1.

    Article  Google Scholar 

  • Shimahara, N. K. (1983). Polarized Socialization in an Urban High School. Anthropology and Education Quarterly, 14(2), 109–130.

    Article  Google Scholar 

  • Slavin, R. E. (1980). Cooperative Learning. Review of Educational Research, 50(2), 315–342.

    Google Scholar 

  • Slavin, R. E. (1985). Cooperative learning: Applying contact theory in desegregated schools. Journal of Social Issues, 41(1), 45–62.

    Article  Google Scholar 

  • Slavin, R. E., & Cooper, R. (1999). Improving Intergroup Relations: Lessons Learned from Cooperative Learning Programs. Journal of Social Issues, 55(4), 647–663.

    Article  Google Scholar 

  • Slavin, R. E., & Madden, N. A. (1979). School Practices that Improve Race Relations. American Educational Research Journal, 16(2), 169–180.

    Google Scholar 

  • Slavin, R. E., & Oickle, E. (1981). Effects of Cooperative Learning Teams on Student Achievement and Race Relations: Treatment by Race Interactions. Sociology of Education, 54(3), 174–180.

    Article  Google Scholar 

  • Terenzini, P. T., Cabrera, A. F., Colbeck, C. L., Bjorklund, S. A., & Parente, J. M. (2001). Racial and Ethnic Diversity in the classroom: Does it Promote Student Learning? Journal of Higher Education, 72(5), 509–531.

    Article  Google Scholar 

  • Thompson, M. S., & Green, S. B. (2006). Evaluating between-group differences in latent variable means. In G. R. Hancock & R. O. Mueller (Eds.), Structural Equation Modeling: A second course (pp. 119–170).  : IAP-Information Age Publishing.

    Google Scholar 

  • UM Mission and Goals Statement. (2006). Retrieved June 21, 2008 from http://www.provost.umd.edu/Strategic_Planning/MissionAndGoals2006.pdf.

  • Zuniga, X., Williams, E. A., & Berger, J. B. (2005). Action-oriented democratic outcomes: The impact of student involvement with campus diversity. Journal of College Student Development, 46(6), 660–678.

    Article  Google Scholar 

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Correspondence to Wendell D. Hall.

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Hall, W.D., Cabrera, A.F. & Milem, J.F. A Tale of Two Groups: Differences Between Minority Students and Non-Minority Students in their Predispositions to and Engagement with Diverse Peers at a Predominantly White Institution. Res High Educ 52, 420–439 (2011). https://doi.org/10.1007/s11162-010-9201-4

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