Scholars have shown that low socioeconomic status (SES) students are less likely to study science, technology, engineering, and mathematics (STEM) subjects and to attend prestigious universities. However, they have overlooked the intersection between subject choice (STEM or non-STEM) and institutional prestige. Analyzing data from the Longitudinal Study of Young People in England, we found that when students from poorer neighborhoods or whose parents did not have a university degree studied STEM, they were more likely to attend nonprestigious institutions. Even when students from poorer neighborhoods were able to enroll prestigious universities, they were less likely to study STEM subjects than their peers. We discussed policy implications.
AlcottB. (2017). The influence of teacher encouragement on educational persistence: Evidence from England. Research in Higher Education, 58, 773-804.
3.
AndersJ. (2012). The link between household income, university applications and university attendance. Fiscal Studies, 33, 185-210.
4.
AndersJ.MicklewrightJ. (2015). Teenagers’ expectations of applying to university: How do they change?Education Sciences, 5, 281-305.
5.
ArcherL.HutchingsM.RossA. (2003). Higher education and social class: Issues of exclusion and inclusion. London, England: Routledge Falmer.
6.
ArcherL.MooteJ.FrancisB.DeWittJ.YeomansL. (2017). Stratifying science: A Bourdieusian analysis of student views and experiences of school selective practices in relation to “Triple Science” at KS4 in England. Research Papers in Education, 32, 296-315.
7.
BallS. J. (2012). Politics and policy making in education: Explorations in policy sociology. London, England: Routledge Falmer.
8.
BallS. J.DaviesJ.DavidM.ReayD. (2002). “Classification” and “Judgement”: Social class and the “cognitive structures” of choice of higher education. British Journal of Sociology of Education, 23, 51-72.
9.
BallS. J.ExleyS. (2010). Making policy with “good ideas”: Policy networks and the “intellectuals” of New Labour. Journal of Education Policy, 25, 151-169.
10.
BallS. J.ReayD.DavidM. (2002). “Ethnic choosing”: Minority ethnic students, social class and higher education choice. Race, Ethnicity and Education, 5, 333-357.
11.
BeckerG. S. (1980). Human capital: A theoretical and empirical analysis, with special reference to education (2nd ed.). Chicago, IL: The University of Chicago Press.
12.
BlandenJ.MachinS. (2010). Intergenerational inequality in early years assessments. In HansenK.JoshiH.DexS. (Eds.), Children of the 21st century: The first five years (pp. 153-168). Bristol, UK: The Policy Press.
13.
BlundellR.DeardenL.MeghirC.SianesiB. (1999). Human capital investment: The returns from education and training to the individual, the firm and the economy. Fiscal Studies, 20, 1-23.
14.
BoliverV. (2011). Expansion, differentiation, and the persistence of social class inequalities in British higher education. Higher Education, 61, 229-242.
15.
BoliverV. (2013). How fair is access to more prestigious UK universities?The British Journal of Sociology, 64, 344-364.
16.
BoliverV. (2015). Lies, damned lies, and statistics on widening access to Russell Group universities. Radical Statistics, 113, 29-38.
17.
BoliverV. (2016). Exploring ethnic inequalities in admission to Russell Group universities. Sociology, 50, 247-266.
18.
BoliverV.GorardS.SiddiquiN. (2017). How can we widen participation in higher education? The promise of contextualised admissions. In DeemR.EgginsH. (Eds.), The university as a critical institution? (pp. 95-109). Rotterdam, The Netherlands: Sense Publishers.
19.
BourdieuP. (1986). The forms of capital. In RichardsonJ. G. (Ed.), Handbook of theory and research for the sociology of education (pp. 241-258). New York, NY: Greenwood Press.
20.
BourdieuP. (1990). The logic of practice. Cambridge, MA: Polity Press.
21.
BourdieuP.PasseronJ. C. (1977). Reproduction in education, society, and culture. Beverly Hills, CA: SAGE.
22.
CarneiroP.HeckmanJ. J. (2002). The evidence on credit constraints in post-secondary schooling. The Economic Journal, 112, 705-734.
23.
CarneiroP.HeckmanJ. J. (2003). Human capital policy. In HeckmanJ. J.KruegerA.FriedmanB. (Eds.), Inequality in America: What role for human capital policies? (pp. 77-239). Cambridge, MA: MIT Press.
ChenX.WekoT. (2009, July). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education (NCES 2009-161). National Center for Education Statistics. Retrieved from https://nces.ed.gov/pubs2009/2009161.pdf
26.
ChevalierA. (2011). Subject choice and earnings of UK graduates. Economics of Education Review, 30, 1187-1201.
27.
ChevalierA.ConlonG. (2002). Variations in the returns to university degree in the UK, a Cohort Analysis (Mimeo). Dublin, Ireland: University College Dublin.
28.
ChowdryH.CrawfordC.DeardenL.GoodmanA.VignolesA. (2008). Widening participation in higher education: Analysis using linked administrative data. London, England: Institute for Fiscal Studies.
29.
ChowdryH.CrawfordC.DeardenL.GoodmanA.VignolesA. (2013). Widening participation in higher education: Analysis using linked administrative data. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176, 431-457.
30.
ColemanJ. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94(Suppl.), 95-120.
31.
CrawfordC.JohnsonP.MachinS.VignolesA. (2011). Social mobility: A literature review. London, England: National Centre for Vocational Education Research (NCVER), Department of Business, Innovation and Skills.
32.
CruceT. M. (2009). A note on the calculation and interpretation of the Delta-p statistic for categorical independent variables. Research in Higher Education, 50, 608-622.
33.
DaltonB.IngelsS. J.DowningJ.BozickR. (2007, August). Advanced mathematics and science coursetaking in the Spring High School senior classes of 1982, 1992, and 2004: Statistical analysis report (NCES 2007-312). Washington, DC: National Center for Education Statistics.
34.
DaveyG.FullerA. (2013). Hybrid qualifications, institutional expectations and youth transitions: A case of swimming with or against the tide. Sociological Research Online, 18(1), 1-10.
35.
DaviesS.GuppyN. (1997). Fields of study, college selectivity, and student inequalities in higher education. Social Forces, 75, 1417-1438.
36.
DavisonM. L.JewG. B.DavenportE. C.Jr. (2014). Patterns of SAT scores, choice of STEM major, and gender. Measurement and Evaluation in Counseling and Development, 47, 118-126.
37.
Department for Education & National Centre for Social Research. (2012). Longitudinal Study of Young People in England: Waves One to Seven, 2004-2010 (12th ed.) (SN: 5545). Colchester, UK: UK Data Service.
DiMaggioP.MohrJ. (1985). Cultural capital, educational attainment, and marital selection. American Journal of Sociology, 90, 1231-1261.
40.
DoltonP.VignolesA. (2000). The incidence and effects of overeducation in the UK graduate labour market. Economics of Education Review, 19, 179-198.
41.
DonnellyM.EvansC. (2016). Framing the geographies of higher education participation: Schools, place and national identity. British Educational Research Journal, 42, 74-92.
42.
EngbergM.WolniakG. C. (2013). College student pathways to the STEM disciplines. Teachers College Record, 115(1), 1-27.
43.
FeinsteinL. (2003). Inequality in the early cognitive development of British children in the 1970 cohort. Economica, 70, 73-97.
44.
GibbonsS.VignolesA. (2012). Geography, choice and participation in higher education in England. Regional Science and Urban Economics, 42, 98-113.
45.
GorardS.SeeB. H. (2008). Is science a middle-class phenomenon? The SES determinants of 16–19 participation. Research in Post-Compulsory Education, 13, 217-226.
46.
GorardS.SmithE.MayH.ThomasL.AdnettN.SlackK. (2006, July). Review of widening participation research: Addressing the barriers to participation in higher education (A report by the University of York, the Higher Education Academy and the Institute for Access Studies). Bristol, UK: Higher Education Funding Council for England.
47.
HeckmanJ. J.LochnerL. (2000). Rethinking education and training policy: Understanding the sources of skill formation in a modern economy. In DanzigerS.WaldfogelJ. (Eds.), Securing the future: Investing in children from birth to college (pp. 47-83). New York, NY: Russell Sage Foundation.
48.
Hemsley-BrownJ. (2015). Getting into a Russell Group university: High scores and private schooling. British Educational Research Journal, 41, 398-422.
49.
HomerM.RyderJ.DonnellyJ. (2013). Sources of differential participation rates in school science: The impact of curriculum reform. British Educational Research Journal, 39, 248-265.
JerrimJ.VignolesA. (2013). Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes. Journal of the Royal Statistical Society: Series A (Statistics in Society), 176, 887-906.
53.
LamontM.LareauA. (1988). Cultural capital: Allusions, gaps and glissandos in recent theoretical developments. Sociological Theory, 6, 153-168.
54.
LittleR. J. (1992). Regression with missing X’s: A review. Journal of the American Statistical Association, 87, 1227-1237.
55.
LongJ. S.FreeseJ. (2006). Regression models for categorical dependent variables using Stata. College Station, TX: Stata Press.
MannonS. E.SchreudersP. D. (2007). All in the (engineering) family?—The family occupational background of men and women engineering students. Journal of Women and Minorities in Science and Engineering, 13, 333-351.
58.
Marcenaro-GutierrezO.Galindo-RuedaF.VignolesA. (2007). Who actually goes to university?Empirical Economics, 32, 333-357.
59.
MarginsonS.TytlerR.FreemanB.RobertsK. (2013). STEM: Country comparisons: International comparisons of science, technology, engineering and mathematics (STEM) education. Melbourne, Victoria: Australian Council of Learned Academies.
60.
MendickH. (2005). A beautiful myth? The gendering of being/doing “good at maths.”Gender and Education, 17, 203-219.
PernaL. W. (2006). Studying college choice: A proposed conceptual model. In SmartJ. C. (Ed.), Higher education: Handbook of theory and research (Vol. 21, pp. 99-157). Dordrecht, The Netherlands: Springer.
64.
PetersenT. (1985). A comment on presenting results from logit and probit models. American Sociological Review, 50, 130-131.
65.
PiesseA.KaltonG. (2009). A strategy for handling missing data in the Longitudinal Study of Young People in England (LSYPE) (DCSF-RW086). London, England: Department for Children, Schools and Families.
66.
ReayD. (1998). “Always knowing” and “never being sure”: Familial and institutional habituses and higher education choice. Journal of Education Policy, 13, 519-529.
67.
ReayD.CrozierG.ClaytonJ. (2010). “Fitting in” or “standing out”: Working-class students in UK higher education. British Educational Research Journal, 36, 107-124.
Shanghai Ranking Consultancy. (2014). Academic ranking of world universities 2014. Shanghai, China: Shanghai Jiao Tong University. Retrieved from http://www.shanghairanking.com/ARWU2014.html
71.
SingletonA. D. (2010). The geodemographics of educational progression and their implications for widening participation in higher education. Environment and Planning A, 42, 2560-2580.
72.
SmithE. (2011). Women into science and engineering? Gendered participation in higher education STEM subjects. British Educational Research Journal, 37, 993-1014.
73.
SmithE.WhiteP. (2011). Who is studying science? The impact of widening participation policies on the social composition of UK undergraduate science programmes. Journal of Education Policy, 26, 677-699.
74.
TabachnickB. G.FidellL. S. (1996). Using multivariate statistics. New York, NY: HarperCollins.
van de WerfhorstH. G.de GraafD. N.KraaykampG. (2001). Intergenerational resemblance in field of study in the Netherlands. European Sociological Review, 17, 275-293.
78.
VincentC.BraunA.BallS. J. (2008). Childcare, choice and social class: Caring for young children in the UK. Critical Social Policy, 28, 5-26.
79.
WalkerI.ZhuY. (2011). Differences by degree: Evidence of the net financial rates of return to undergraduate study for England and Wales. Economics of Education Review, 30, 1177-1186.
80.
WalkerM.ClarkG. (2010). Parental choice and the rural primary school: Lifestyle, locality and loyalty. Journal of Rural Studies, 26, 241-249.
81.
ZwickR. (2006). Higher education admissions testing. In BrennanR. L. (Ed.), Educational measurement (pp. 647-679). Westport, CT: American Council on Higher Education and Praeger.
