Measuring progress in reading achievement between primary and secondary school across countries
AbstractThis 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.
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Bibliographic InfoPaper provided by Faculty of Economic Sciences, University of Warsaw in its series Working Papers with number 2011-20.
Length: 60 pages
Date of creation: 2011
Date of revision:
human capital; cognitive skills; international student achievement tests; education; PISA; PIRLS;
Find related papers by 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, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
- P50 - Economic Systems - - Comparative Economic Systems - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-14 (All new papers)
- NEP-EDU-2011-11-14 (Education)
- NEP-LAB-2011-11-14 (Labour Economics)
- NEP-URE-2011-11-14 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Econometric Society 2004 North American Winter Meetings
280, Econometric Society.
- 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.
- 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 for the Study of Labor (IZA).
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