IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2011-20.html
   My bibliography  Save this paper

Measuring progress in reading achievement between primary and secondary school across countries

Author

Listed:
  • Maciej Jakubowski

    (Faculty of Economic Sciences, University of Warsaw; Organisation for Economic Co-operation and Development)

  • Artur Pokropek

    (Institute of Educational Research (IBE))

Abstract

This paper discusses a method to compare progress in reading achievement from primary to secondary school across countries. The method is similar to value-added models that take into account intake levels when comparing student progress in different schools. Value-added models are preferred over raw scores as they better reflect school efforts. The method discussed in this paper uses measures of achievement in primary schools from PIRLS and compares them to secondary school results from PISA. Changes in achievement are estimated using IRT models and random draws of test items. Results describe an interval in which estimates of progress can lie, depending on the comparability of these two assessments. Estimates of progress are also adjusted for student age, gender and other characteristics that differ between countries and surveys. Separate results by gender, immigrant status, and proficiency level provide a detailed picture of how students in different countries progress in school from the age of 10 to 15.

Suggested Citation

  • Maciej Jakubowski & Artur Pokropek, 2011. "Measuring progress in reading achievement between primary and secondary school across countries," Working Papers 2011-20, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2011-20
    as

    Download full text from publisher

    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP60.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    2. Tarozzi, Alessandro, 2007. "Calculating Comparable Statistics From Incomparable Surveys, With an Application to Poverty in India," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 314-336, July.
    3. Giorgina Brown & John Micklewright & Sylke V. Schnepf & Robert Waldmann, 2007. "International surveys of educational achievement: how robust are the findings?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 623-646, July.
    4. Brown, Giorgina & Micklewright, John & Schnepf, Sylke V. & Waldmann, Robert, 2005. "Cross-National Surveys of Learning Achievement: How Robust are the Findings?," IZA Discussion Papers 1652, Institute of Labor Economics (IZA).
    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. Jakubowski, Maciej & Pokropek, Artur, 2015. "Reading achievement progress across countries," International Journal of Educational Development, Elsevier, vol. 45(C), pages 77-88.
    2. Nicole Schneeweis, 2011. "Educational institutions and the integration of migrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1281-1308, October.
    3. Andreas Ammermueller, 2013. "Institutional Features of Schooling Systems and Educational Inequality: Cross-Country Evidence From PIRLS and PISA," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 190-213, May.
    4. Francisco H. G. Ferreira & Jérémie Gignoux, 2014. "The Measurement of Educational Inequality: Achievement and Opportunity," The World Bank Economic Review, World Bank, vol. 28(2), pages 210-246.
    5. John Jerrim & Álvaro Choi, 2013. "The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?," Working Papers 2013/12, Institut d'Economia de Barcelona (IEB).
    6. repec:hal:pseose:halshs-00646594 is not listed on IDEAS
    7. John Jerrim & Álvaro Choi, 2013. "The mathematics skills of school children: how does England compare to the high performing east Asian jurisdictions?," Working Papers 2013/12, Institut d'Economia de Barcelona (IEB).
    8. Tommaso Agasisti & María Gil-Izquierdo & Seong Won Han, 2020. "ICT Use at home for school-related tasks: what is the effect on a student’s achievement? Empirical evidence from OECD PISA data," Education Economics, Taylor & Francis Journals, vol. 28(6), pages 601-620, November.
    9. Matilde Bombardini & Giovanni Gallipoli & German Pupato, 2012. "Skill Dispersion and Trade Flows," American Economic Review, American Economic Association, vol. 102(5), pages 2327-2348, August.
    10. Zhang, Liang & Khan, Gulab & Tahirsylaj, Armend, 2015. "Student performance, school differentiation, and world cultures: Evidence from PISA 2009," International Journal of Educational Development, Elsevier, vol. 42(C), pages 43-53.
    11. John Jerrim & Alvaro Choi, 2013. "The mathematics skills of school children: How does England compare to the high performing East Asian jurisdictions?," DoQSS Working Papers 13-03, Quantitative Social Science - UCL Social Research Institute, University College London.
    12. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    13. van Elk, Roel & van der Steeg, Marc & Webbink, Dinand, 2011. "Does the timing of tracking affect higher education completion?," Economics of Education Review, Elsevier, vol. 30(5), pages 1009-1021, October.
    14. Thushyanthan Baskaran & Zohal Hessami, 2012. "Public education spending in a globalized world:," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(5), pages 677-707, October.
    15. Mühlenweg, Andrea Maria, 2007. "Educational Effects of Early or Later Secondary School Tracking in Germany," ZEW Discussion Papers 07-079, ZEW - Leibniz Centre for European Economic Research.
    16. Catherine Haeck & Pierre Lefebvre, 2020. "The Evolution of Cognitive Skills Inequalities by Socioeconomic Status across Canada," Working Papers 20-04, Research Group on Human Capital, University of Quebec in Montreal's School of Management.
    17. Yediyıldız, Betül & Ustun, Ulas, 2024. "Deciphering socioeconomic inequality in science literacy: Evidence from PISA 2015 in Türkiye," International Journal of Educational Development, Elsevier, vol. 111(C).
    18. Murat Marina, 2012. "Do Immigrant Students Succeed? Evidence from Italy and France," Global Economy Journal, De Gruyter, vol. 12(3), pages 1-22, September.
    19. Marina Murat, 2011. "Do immigrant students succeed? Evidence from Italy and France based on PISA 2006," Department of Economics 0670, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    20. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    21. Hanck, Christoph, 2011. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," Economic Modelling, Elsevier, vol. 28(4), pages 1739-1746, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • P50 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:war:wpaper:2011-20. 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: Jacek Rapacz (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    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.