IDEAS home Printed from https://ideas.repec.org/a/nos/voprob/2014i1p176-199.html
   My bibliography  Save this article

Studying the Relation between the Unified State Exam Points and Higher Education Performance

Author

Abstract

Tatiana Khavenson - Research Fellow at The International Laboratory for Education Policy Analysis at the HSE Graduate School of Education. E-mail: tkhavenson@hse.ruAnna Solovyova - Intern Research Fellow at The International Laboratory for Education Policy Analysis at the HSE Graduate School of Education. E-mail: soloveva.anna@gmail.comThis paper analyzes the possibility of predicting efficiency of learning in a higher education institution based on results of the Unified State Exam (USE). In particular, the authors test the hypothesis that USE results in different subjects are equally efficient predictors of further student performance. Methods of regression analysis have been used to assess how preliminary examinations (both total USE points and points in specific subjects) affect academic performance in higher education. The research involved about 19,000 students enrolled at five Russian higher education institutions between 2009 and 2011. As long as the sample included institutions of different profiles, individual regressions were calculated for each faculty. A meta-analysis of regression coefficients was performed later to bring the data together. Average firstyear grade was used as the key university performance factor. It was found out that USE points were only related to performance in the second and the subsequent years through performance in the first year, i. e. indirectly. The research results allow to conclude that predictive capacity of total USE points is high enough to accept this examination as a valid student selection tool. The explained variation in university performance varies from 15 to 35% in different faculties. Predictive capacity of particular subjects making the USE total points is relatively the same, but USE points in mathematics and Russian are often the best predictors of performance. The paper also analyzes the relation between USE points and another student selection tool - results of academic competitions in specific subjects.

Suggested Citation

  • Tatiana Khavenson & Anna Solovyova, 2014. "Studying the Relation between the Unified State Exam Points and Higher Education Performance," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 176-199.
  • Handle: RePEc:nos:voprob:2014:i:1:p:176-199
    as

    Download full text from publisher

    File URL: https://vo.hse.ru/data/2014/07/02/1309661339/2014-1_Havenson_En.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peresetsky, Anatoly & Davtian, Misak, 2011. "Russian USE and olympiads as instruments for university admission selection," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 23(3), pages 41-56.
    2. Rothstein, J.M.Jesse M., 2004. "College performance predictions and the SAT," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 297-317.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Evgeniya Popova & Marina Sheina, 2017. "Does Studying in a Strong School Guarantee Good College Performance?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 128-157.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Evgeniya Popova & Marina Sheina, 2017. "Does Studying in a Strong School Guarantee Good College Performance?," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 128-157.
    2. Verbetsky, Alexey D. (Вербецкий, Алексей) & Friedman, Alla A. (Фридман, Алла), 2016. "Universities’ Admission Policy and Student Competition [Политика Приема В Вузы И Конкуренция Абитуриентов]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 68-91, October.
    3. Zamkov, Oleg & Peresetsky, Anatoly, 2013. "Russian Unified National Exams (UNE) and academic performance of ICEF HSE students," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 93-114.
    4. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    5. Sandra E. Black & Jeffrey T. Denning & Jesse Rothstein, 2023. "Winners and Losers? The Effect of Gaining and Losing Access to Selective Colleges on Education and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 15(1), pages 26-67, January.
    6. Jesse Rothstein & Albert Yoon, 2006. "Mismatch in Law School," Working Papers 29, Princeton University, School of Public and International Affairs, Education Research Section..
    7. Debopam Bhattacharya & Shin Kanaya & Margaret Stevens, 2017. "Are University Admissions Academically Fair?," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 449-464, July.
    8. Guyonne Kalb & Sholeh A. Maani, 2007. "The Importance of Observing Early School Leaving and Usually Unobserved Background and Peer Characteristics in Analysing Academic Performance," Melbourne Institute Working Paper Series wp2007n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    10. Juan Esteban Saavedra & Carlos Medina, 2012. "Formación para el Trabajo en Colombia," Documentos CEDE 10315, Universidad de los Andes, Facultad de Economía, CEDE.
    11. Michelle Rendall & Andrew Rendall, 2013. "Math Matters: Student Ability, College Majors, and Wage Inequality," 2013 Meeting Papers 1196, Society for Economic Dynamics.
    12. Sezgin Polat & Jean-Jacques Paul, 2016. "How to predict university performance: a case study from a prestigious Turkish university?," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 22, pages 423-434, Asociación de Economía de la Educación.
    13. Jesse Rothstein, 2019. "Inequality of Educational Opportunity? Schools as Mediators of the Intergenerational Transmission of Income," Journal of Labor Economics, University of Chicago Press, vol. 37(S1), pages 85-123.
    14. Mario I. Suárez & Alan R Dabney & Hersh C Waxman & Timothy P Scott & Adrienne O Bentz, 2021. "Exploring Factors that Predict STEM Persistence at a Large, Public Research University," International Journal of Higher Education, Sciedu Press, vol. 10(4), pages 161-161, August.
    15. Dur, Robert & Glazer, Amihai, 2008. "Subsidizing Enjoyable Education," Labour Economics, Elsevier, vol. 15(5), pages 1023-1039, October.
    16. Rothstein, Jesse M, 2002. "Admissions Bias: A New Approach to Validity Estimation in Selected Samples," Department of Economics, Working Paper Series qt66n4x6g4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    17. Magzhanov, Timur & Sagradyan, Anna, 2023. "Ambiguous high scores: The All-Russian Olympiad in economics during the COVID-19 pandemic," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 89-108.
    18. Richard C. Atkinson and Saul Geiser, 2009. "Reflections on a Century of College Admissions Tests," University of California at Berkeley, Center for Studies in Higher Education qt49z7127p, Center for Studies in Higher Education, UC Berkeley.
    19. Gandil, Mikkel & Leuven, Edwin, 2022. "College Admission as a Screening and Sorting Device," IZA Discussion Papers 15557, Institute of Labor Economics (IZA).
    20. Raj Chetty & John N. Friedman & Emmanuel Saez & Nicholas Turner & Danny Yagan, 2020. "The Determinants of Income Segregation and Intergenerational Mobility: Using Test Scores to Measure Undermatching," NBER Working Papers 26748, National Bureau of Economic Research, Inc.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nos:voprob:2014:i:1:p:176-199. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marta Morozova (email available below). General contact details of provider: http://vo.hse.ru/en/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.