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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

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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP60.pdf
    File Function: First version, 2011
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    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. 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)

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    More about this item

    Keywords

    human capital; cognitive skills; international student achievement tests; education; PISA; PIRLS;
    All these 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

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