As the population of college-aged Latinas/os grows, the number of Hispanic Serving Institutions (HSIs) increases. The purpose of this study was to determine whether the percentage of Latinas/os has an effect on the institutional graduation rates of Latina/o students attending HSIs, emerging HSIs, and non-HSIs. Data were drawn from the Integrated Postsecondary Education Data System (IPEDS) and the sample included 296 institutions. A structural equation model was used to confirm predictors of graduation rates.
AllisonP. D. (2002). Missing data. Thousand Oaks, CA: Sage.
2.
AlonS. A.TiendaM. (2005). Assessing the “mismatch” hypothesis: Differences in college graduation rates by institutional selectivity. Sociology of Education, 78, 294-315.
3.
BentlerP. M. (1988). Causal modeling via structural equation systems. In NesselroadeJ. R.CattellR. B. (Eds.), Handbook of multivariate experimental psychology (2nd ed., pp. 317-335). New York, NY: Plenum.
4.
BentlerP. M. (2006). EQS 6 structural equations program manual. Encino, CA: Multivariate Software, Inc.
5.
BowenW. G.BokD. (1998). The shape of the river: Long-term consequences of considering race in college and university admissions. Princeton, NJ: Princeton University Press.
6.
ByrneB. M. (2008). Structural Equation Modeling with EQS: Basic concepts, applications, and programming (2nd ed.). New York, NY: Routledge.
7.
ContrerasF. E.MalcomL. E.BensimonE. M. (2008). Hispanic-serving institutions: Closeted identity and the production of equitable outcomes for Latino/a students. In GasmanM.BaezB.TurnerC. S. V. (Eds.), Understanding minority-serving institutions (pp. 71-90). Albany, NY: State University of New York.
8.
CraggK. M. (2009). Influencing the probability for graduation at four-year institutions: A multi-model analysis. Research in Higher Education, 50, 394-413.
9.
de los SantosA. G. J.CuameaK. M. (2010). Challenges facing Hispanic-serving institutions in the first decade of the 21st century. Journal of Latinos and Education, 9, 90-107.
10.
DempsterA. P.LairdN. M.RubinD. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39(1), 1-38.
11.
GandaraP.LopezE. (1998). Latino students and college entrance exams: How much do they really count?Hispanic Journal of Behavioral Sciences, 20(1), 17-38.
12.
Gansemer-TopfA. M.SchuhJ. H. (2006). Institutional selectivity and institutional expenditures: Examining organizational factors that contribute to retention and graduation. Research in Higher Education, 47, 613-642.
13.
HagedornL. S.ChiW.CepedaR. M.McLainM. (2007). An investigation of critical mass: The role of Latino representation in the success of urban community college students. Research in Higher Education, 48(1), 73-91.
14.
HuL.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
15.
HurtadoS.KamimuraM. (2003). Latina/o retention in four-year institutions. In CastellanosJ.JonesL. (Eds.), The majority in the minority (pp.138-150). Sterling, VA: Stylus.
16.
HurtadoS.MilemJ. F.Clayton-PedersenA. R.AllenW. R. (1998). Enhancing campus climates for racial/ethnic diversity: Educational policy and practice. Review of Higher Education, 21, 279-302.
17.
HurtadoS.MilemJ. F.Clayton-PedersenA. R.AllenW. R. (1999). Enacting diverse learning environments: Improving the campus climate for racial/ethnic diversity in higher education (Vol. 26). San Francisco, CA: Jossey Bass.
18.
KaneT. (1998). Racial and ethnic preferences in college admissions. In JencksC.PhillipsM. (Eds.), The Black-White test score gap (pp. 431-456). Washington, DC: Brookings Institution Press.
19.
LadenB. V. (2004). Hispanic-serving institutions: What are they? Where are they?Community College Journal of Research and Practice, 28, 181-198.
20.
MacCallumR. C.BrowneM. W.SugawaraH. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149.
21.
MalcomL. E. (2010). Hispanic-serving or Hispanic-enrolling? Assessing the institutional performance of public 4-year HSIs and emerging HSIs. Paper presented at the American Educational Research Association Annual Meeting. Denver, CO.
22.
McLachlanG. J.KrishnanT. (1997). The EM algorithm and extensions. New York, NY: Wiley.
23.
MelguizoT. (2008). Quality matters: Assessing the impact of attending more selective institutions on college completion rates of minorities. Research in Higher Education, 49, 214-236.
24.
MercerC. J.StedmanJ. B. (2008). Minority-serving institutions: Selected institutional and student characteristics. In GasmanM.BaezB.TurnerC. S. V. (Eds.), Understanding minority-serving institutions (pp. 28-42). Albany: State University of New York.
25.
MulaikS. A. (2009). Linear causal modeling with structural equations. Boca Raton, FL: Chapman & Hall/CRC.
26.
RyanJ. F. (2004). The relationship between institutional expenditures and degree attainment at baccalaureate colleges. Research in Higher Education, 45(2), 97-114.
27.
SantiagoD. A.AndradeS. J. (2010). Emerging Hispanic-serving institutions: Serving Latino students. Washington, DC: Excelencia in Education.
28.
ShinJ. C. (2010). Impacts of performance-based accountability on institutional performance in the U.S. Journal of Higher Education, 60(1), 47-68.
29.
TorresV. (2006). A mixed method study testing data-model fit of a retention model for Latino/a students at urban universities. Journal of College Student Development, 47, 299-318.