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The Extent of Bias in Grading

Author

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  • Andersland, Leroy

    (University of Bergen, Department of Economics)

Abstract

Do biased perceptions and behaviors affect teachers’ assessment of students? To investigate this question, a number of studies use data on two different scores for the same individuals: one non-blind score based on classroom tests assessed by the student’s own teacher and one blind test score based on a national exam marked externally and anonymously. In the absence of bias in teachers’ assessments, it is argued, there should not be significant differences in the gaps in blind and non-blind scores between different groups. This article present a parsimonious econometric framework that distills out the assumptions necessary to identify group bias in teachers’ assessment from such a comparison of blind and non-blind scores. This framework lays the foundation for our empirical analysis, where data from the Norwegian school system are employed to estimate and interpret differences between nonblind and blind assessments. The results show that the relationship between the subject ability and non-blind results tends to be different from the relationship between subject ability and blind results. Evidence of this is found both when grades are recorded when teachers grade the same test and when they grade based on different assessments that are meant to test the same skill. The difference between non-blind and blind will therefore be a function of the skill tested. This leads to different estimates of the group bias when holding ability fixed.

Suggested Citation

  • Andersland, Leroy, 2017. "The Extent of Bias in Grading," Working Papers in Economics 10/17, University of Bergen, Department of Economics.
  • Handle: RePEc:hhs:bergec:2017_010
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    References listed on IDEAS

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    1. Goldin, Claudia D. & Rouse, Cecilia, 2000. "Orchestrating Impartiality: The Impact of “Blind†Auditions on Female Musicians," Scholarly Articles 30703974, Harvard University Department of Economics.
    2. Bjorn Tyrefors Hinnerich & Erik H�glin & Magnus Johannesson, 2015. "Discrimination against students with foreign backgrounds: evidence from grading in Swedish public high schools," Education Economics, Taylor & Francis Journals, vol. 23(6), pages 660-676, December.
    3. Hinnerich, Björn Tyrefors & Höglin, Erik & Johannesson, Magnus, 2011. "Are boys discriminated in Swedish high schools?," Economics of Education Review, Elsevier, vol. 30(4), pages 682-690, August.
    4. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
    5. van Ewijk, Reyn, 2011. "Same work, lower grade? Student ethnicity and teachers' subjective assessments," Economics of Education Review, Elsevier, vol. 30(5), pages 1045-1058, October.
    6. 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.
    7. Falch, Torberg & Naper, Linn Renée, 2013. "Educational evaluation schemes and gender gaps in student achievement," Economics of Education Review, Elsevier, vol. 36(C), pages 12-25.
    8. 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.
    9. Cecilia Rouse & Claudia Goldin, 2000. "Orchestrating Impartiality: The Impact of "Blind" Auditions on Female Musicians," American Economic Review, American Economic Association, vol. 90(4), pages 715-741, September.
    10. Lindahl, Erica, 2007. "Comparing teachers’ assessments and national test results – evidence from Sweden," Working Paper Series 2007:24, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    12. Maresa Sprietsma, 2013. "Discrimination in grading: experimental evidence from primary school teachers," Empirical Economics, Springer, vol. 45(1), pages 523-538, August.
    13. Blank, Rebecca M, 1991. "The Effects of Double-Blind versus Single-Blind Reviewing: Experimental Evidence from The American Economic Review," American Economic Review, American Economic Association, vol. 81(5), pages 1041-1067, December.
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    2. Martin Eckhoff Andresen & Sturla A. Løkken, 2019. "High school dropout for marginal students. Evidence from randomized exam form," Discussion Papers 894, Statistics Norway, Research Department.

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    More about this item

    Keywords

    Discrimination; bias; human capital; test scores;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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