IDEAS home Printed from https://ideas.repec.org/a/nos/voprob/2020i2p37-59.html
   My bibliography  Save this article

Cross-National Comparability of Assessment in Higher Education

Author

Abstract

Denis Federiakin - Intern Researcher, Center for Psychometrics and Measurements in Education, Institute of Education, National Research University Higher School of Economics.Address: 20 Myasnitskaya Str., 101000 Moscow, Russian Federation. E-mail: dafederiakin@hse.ruThe last three decades have seen an increase in researchers' interest in international comparative assessments of educational outcomes, particularly at the level of secondary schools. Achieving cross-national comparability is the main methodological challenge in the design of such studies. Cross-national comparability of test scores implies that the measure operates similarly across all the participating countries, regardless of their linguistic and cultural differences.The process of achieving cross-national comparability in higher education is more complicated due to specific features of higher education. This article explores the modern understanding of cross-national comparability of student assessment results and the possible ways of achieving it. It analyzes the specific aspects of higher education that complicate standardized measurement of educational outcomes and trivial achievement of cross-national comparability.The process of designing and conducting the Study of Undergraduate Performance - an international comparative research project aimed to assess and compare higher engineering education across nations - is described as an example of overcoming those challenges.

Suggested Citation

  • Denis Federiakin, 2020. "Cross-National Comparability of Assessment in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 37-59.
    • Handle: RePEc:nos:voprob:2020:i:2:p:37-59
    as

    Download full text from publisher

    File URL: https://vo.hse.ru/data/2020/07/09/1595126689/Federyakin.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wim van der Linden, 2007. "A Hierarchical Framework for Modeling Speed and Accuracy on Test Items," Psychometrika, Springer;The Psychometric Society, vol. 72(3), pages 287-308, September.
    2. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    3. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    4. Frank Goldhammer & Thomas Martens & Gabriela Christoph & Oliver Lüdtke, 2016. "Test-taking engagement in PIAAC," OECD Education Working Papers 133, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    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. Федерякин Д. А., 2020. "Межстрановая Сопоставимость Результатов Тестирования В Международных Сравнительных Исследованиях Высшего Образования," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 2, pages 37-59.
    2. Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias Davier, 2022. "A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 593-619, June.
    3. Maria Bolsinova & Jesper Tijmstra, 2019. "Modeling Differences Between Response Times of Correct and Incorrect Responses," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 1018-1046, December.
    4. Matthias von Davier & Lale Khorramdel & Qiwei He & Hyo Jeong Shin & Haiwen Chen, 2019. "Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities," Journal of Educational and Behavioral Statistics, , vol. 44(6), pages 671-705, December.
    5. Molenaar, Dylan & Tuerlinckx, Francis & van der Maas, Han L. J., 2015. "Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i04).
    6. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    7. Kristinn Hermannsson & Patrizio Lecca, 2016. "Human Capital in Economic Development: From Labour Productivity to Macroeconomic Impact," Economic Papers, The Economic Society of Australia, vol. 35(1), pages 24-36, March.
    8. Bijlsma Ineke & van den Brakel Jan & van der Velden Rolf & Allen Jim, 2020. "Estimating Literacy Levels at a Detailed Regional Level: an Application Using Dutch Data," Journal of Official Statistics, Sciendo, vol. 36(2), pages 251-274, June.
    9. Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
    10. Christelis, Dimitris & Dobrescu, Loretti I. & Motta, Alberto, 2020. "Early life conditions and financial risk-taking in older age," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    11. Liat Ayalon, 2018. "Perceived Age Discrimination: A Precipitator or a Consequence of Depressive Symptoms?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 860-869.
    12. Steven Andrew Culpepper & Herman Aguinis & Justin L. Kern & Roger Millsap, 2019. "High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance," Psychometrika, Springer;The Psychometric Society, vol. 84(1), pages 285-309, March.
    13. Ihsana Sabriani Borualogo & Ferran Casas, 2023. "Bullying Victimisation and Children’s Subjective Well-being: A Comparative Study in Seven Asian Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 1-27, February.
    14. Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
    15. Seebacher, Moritz, 2023. "Pathways to progress: The complementarity of bicycles and road infrastructure for girls’ education," Economics of Education Review, Elsevier, vol. 97(C).
    16. Wilson, Christopher J. & Bowden, Stephen C. & Byrne, Linda K. & Joshua, Nicole R. & Marx, Wolfgang & Weiss, Lawrence G., 2023. "The cross-cultural generalizability of cognitive ability measures: A systematic literature review," Intelligence, Elsevier, vol. 98(C).
    17. Oasis Kodila-Tedika & Simplice A. Asongu, 2015. "The Effect of Intelligence on Financial Development: A Cross-Country Comparison," Research Africa Network Working Papers 15/002, Research Africa Network (RAN).
    18. Dickerson, Andy & McIntosh, Steven & Valente, Christine, 2015. "Do the maths: An analysis of the gender gap in mathematics in Africa," Economics of Education Review, Elsevier, vol. 46(C), pages 1-22.
    19. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    20. Piopiunik, Marc & Schwerdt, Guido & Woessmann, Ludger, 2013. "Central school exit exams and labor-market outcomes," European Journal of Political Economy, Elsevier, vol. 31(C), pages 93-108.

    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:2020:i:2:p:37-59. 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.