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Does the teacher beat the test? The additional value of teacher assessment in predicting student ability

Author

Listed:
  • Bas ter Weel
  • Eva Feron

    (Maastricht University; Department of Economics)

  • Trudie Schils

    (Maastricht University; Department of Economics)

Abstract

This research investigates to what extent subjective teacher assessment of children’s ability adds to the use of test scores in the explanation of children’s outcomes in the transition from elementary to secondary school. This in terms of initial track allocation, track switching in the first three years of secondary education and subsequent test scores. We apply micro-data from the Netherlands about cognitive test scores and teacher assessment in elementary schools and about track placement, track switching and test scores in secondary schools. Our estimates suggest that subjective teacher assessment is about twice as important as the elementary school cognitive test scores for initial track placement in secondary school. In addition, teacher assessment is more predictive of track allocation in 9th grade compared to cognitive test scores. Next, children who switch tracks are more likely to be placed in tracks based on test scores. Also, test scores in 9th grade are predicted by subjective teacher assessment, not by test scores in sixth grade. Finally, a back-of-the-envelope calculation shows that switching could be reduced by at least ten percent if children would have been allocated according to the teacher’s assessment.

Suggested Citation

  • Bas ter Weel & Eva Feron & Trudie Schils, 2015. "Does the teacher beat the test? The additional value of teacher assessment in predicting student ability," CPB Discussion Paper 300, CPB Netherlands Bureau for Economic Policy Analysis.
  • Handle: RePEc:cpb:discus:300
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    References listed on IDEAS

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    1. Ariga, Kenn & Brunello, Giorgio, 2007. "Does Secondary School Tracking Affect Performance? Evidence from IALS," IZA Discussion Papers 2643, Institute of Labor Economics (IZA).
    2. Christopher Cornwell & David B. Mustard & Jessica Van Parys, 2013. "Noncognitive Skills and the Gender Disparities in Test Scores and Teacher Assessments: Evidence from Primary School," Journal of Human Resources, University of Wisconsin Press, vol. 48(1), pages 236-264.
    3. Golsteyn, Bart H.H. & Schils, Trudie, 2014. "Gender Gaps in Primary School Achievement: A Decomposition into Endowments and Returns to IQ and Non-cognitive Factors," IZA Discussion Papers 8201, Institute of Labor Economics (IZA).
    4. Tim Kautz & James J. Heckman & Ron Diris & Bas ter Weel & Lex Borghans, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-cognitive Skills to Promote Lifetime Success," OECD Education Working Papers 110, OECD Publishing.
    5. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    6. Robert W. Fairlie & Florian Hoffmann & Philip Oreopoulos, 2014. "A Community College Instructor Like Me: Race and Ethnicity Interactions in the Classroom," American Economic Review, American Economic Association, vol. 104(8), pages 2567-2591, August.
    7. Simon Burgess & Ellen Greaves, 2013. "Test Scores, Subjective Assessment, and Stereotyping of Ethnic Minorities," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 535-576.
    8. Ludger Woessmann, 2004. "Institutional Comparisons in Educational Production," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 2(04), pages 03-06, January.
    9. 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.
    10. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    11. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    12. Lavy, Victor, 2008. "Do gender stereotypes reduce girls' or boys' human capital outcomes? Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2083-2105, October.
    13. Nicole Bosch & Anja Deelen & Rob Euwals, 2010. "Is Part‐time Employment Here to Stay? Working Hours of Dutch Women over Successive Generations," LABOUR, CEIS, vol. 24(1), pages 35-54, March.
    14. Bernardi, Martino & Bratti, Massimiliano & De Simone, Gianfranco, 2014. ""I wish I knew ..." - Misperceived Ability, School Track Counseling Services and Performances in Upper Secondary Education," IZA Discussion Papers 7940, Institute of Labor Economics (IZA).
    15. Ludger Wößmann, 2004. "Institutional Comparisons in Educational Production," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 2(4), pages 03-06, 01.
    16. Carmit Segal, 2008. "Classroom Behavior," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    17. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
    18. Golsteyn, Bart H.H. & Schils, Trudie, 2014. "Gender gaps in primary school achievement," Economics of Education Review, Elsevier, vol. 41(C), pages 176-187.
    19. Roel van Elk & Marc van der Steeg & Dinand Webbink, 2009. "The effect of early tracking on participation in higher education," CPB Document 182, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Roel van Elk & Marc van der Steeg & Dinand Webbink, 2009. "The effect of early tracking on participation in higher education," CPB Document 182.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
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    1. Bart H. H. Golsteyn & Stefa Hirsch, 2019. "Are estimates of intergenerational mobility biased by non-response? Evidence from the Netherlands," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 29-63, January.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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